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− | ANALYSIS命令语法
| + | ==ANALYSIS命令语法== |
− | {| <tbody> style=" width: 100%;margin:0px; border: solid 1px #AAAAAA; border-spacing: 5px;"
| + | *HTML版请访问:http://www.statmodel.com/HTML_UG/chapter16V8.htm |
− | | width="168" | ANALYSIS:
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− | |-
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− | | width="168" | TYPE =
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− | | width="294" | <strong>GEN</strong>ERAL;
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− | | width="120" | GENERAL
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− | |-
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− | | width="294" | <strong> BAS</strong>IC;
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− | | width="294" | <strong> RAND</strong>OM;
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− | |-
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− | | width="294" | <strong> COM</strong>PLEX;
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− | |-
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− | | width="294" | <strong>MIX</strong>TURE;
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− | <strong> BAS</strong>IC;
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− | <strong> RAND</strong>OM;
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− | <strong> COM</strong>PLEX;
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− | | width="120" |
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− | |-
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− | | width="294" | <strong>TWO</strong>LEVEL;
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− | <strong> BAS</strong>IC;
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− | <strong> RAND</strong>OM;
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− | <strong> MIX</strong>TURE;
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− | <strong> COM</strong>PLEX;
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− | |-
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− | | width="294" | <strong>THREE</strong>LEVEL;
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− | <strong> BAS</strong>IC;
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− | <strong> RAND</strong>OM;
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− | <strong> COM</strong>PLEX;
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− | | width="294" | <strong>CROSS</strong>CLASSIFIED;
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− | <strong> RAND</strong>OM;
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− | | width="294" | EFA # #;
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− | <strong> BAS</strong>IC;
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− | <strong> MIX</strong>TURE;
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− | <strong> COM</strong>PLEX;
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− | <strong> TWO</strong>LEVEL;
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− | EFA # # UW* # # UB*;
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− | EFA # # UW # # UB;
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− | | width="120" |
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− | |-
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− | | width="168" | ESTIMATOR =
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− | | width="294" | ML;
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− | | width="120" | depends on
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− | |-
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− | | width="168" |
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− | | width="294" | MLM;
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− | | width="120" | analysis type
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− | |-
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− | | width="168" |
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− | | width="294" | MLMV;
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− | | width="120" |
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− | |-
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− | | width="294" | MLR;
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− | |-
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− | | width="294" | MLF;
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− | |-
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− | | width="294" | MUML;
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− | |-
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− | | width="294" | WLS;
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− | |-
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− | | width="294" | WLSM;
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− | | width="294" | WLSMV;
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− | | width="294" | ULS;
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− | |-
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− | | width="294" | ULSMV;
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− | |-
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− | | width="294" | GLS;
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− | | width="294" | BAYES;
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− | | width="120" |
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− | |-
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− | | width="168" | MODEL =
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− | | width="294" | <strong>CONFIG</strong>URAL;
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− | |-
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− | | width="294" | METRIC;
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− | |-
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− | | width="294" | SCALAR;
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>NOMEAN</strong>STRUCTURE;
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− | | width="120" | means
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>NOCOV</strong>ARIANCES;
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− | | width="120" | covariances
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>ALL</strong>FREE;
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− | | width="120" | equal
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− | |-
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− | | width="168" | ALIGNMENT =
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− | | width="294" | FIXED;
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− | | width="120" | last class
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− | |-
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− | | width="120" | CONFIGURAL
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− | |-
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− | | width="294" | FIXED (reference class <strong>CONFIG</strong>URAL);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | FIXED (reference class BSEM);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | FREE;
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− | | width="120" | last class
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− | |-
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− | | width="168" |
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− | | width="294" |
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− | | width="120" | CONFIGURAL
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− | |-
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− | | width="168" |
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− | | width="294" | FREE (reference class <strong>CONFIG</strong>URAL);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | FREE (reference class BSEM);
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− | | width="168" | DISTRIBUTION =
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− | | width="294" | <strong>NORM</strong>AL;
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− | | width="120" | NORMAL
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− | |-
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− | | width="294" | <strong>SKEW</strong>NORMAL;
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− | | width="294" | <strong>TDIST</strong>RIBUTION;
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− | | width="294" | SKEWT;
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− | |-
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− | | width="168" | PARAMETERIZATION =
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− | | width="294" | DELTA;
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− | | width="120" | DELTA
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− | | width="168" |
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− | | width="294" | THETA;
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− | | width="120" |
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− | | width="294" | LOGIT;
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− | | width="120" | LOGIT
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>LOGLIN</strong>EAR;
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>PROB</strong>ABILITY;
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− | <strong>RESCOV</strong>ARIANCES;
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− | | width="120" |
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− | RESCOV
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− | | width="168" | LINK =
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− | | width="294" | <strong>LOG</strong>IT;
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− | | width="120" | LOGIT
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>PROB</strong>IT;
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− | | width="120" |
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− | |-
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− | | width="168" | ROTATION =
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− | | width="294" | <strong>GEO</strong>MIN;
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− | | width="120" | GEOMIN (OBLIQUE value)
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>GEO</strong>MIN (<strong>OB</strong>LIQUE value);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>GEO</strong>MIN (<strong>OR</strong>THOGONAL value);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>QUART</strong>IMIN;
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− | | width="120" | OBLIQUE
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF-V</strong>ARIMAX;
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− | | width="120" | OBLIQUE
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF-V</strong>ARIMAX (<strong>OB</strong>LIQUE);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF-V</strong>ARIMAX (<strong>OR</strong>THOGONAL);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF-Q</strong>UARTIMAX;
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− | | width="120" | OBLIQUE
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF- Q</strong>UARTIMAX (<strong>OB</strong>LIQUE);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF- Q</strong>UARTIMAX (<strong>OR</strong>THOGONAL);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF-E</strong>QUAMAX;
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− | | width="120" | OBLIQUE
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF- E</strong>QUAMAX (<strong>OB</strong>LIQUE);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF- E</strong>QUAMAX (<strong>OR</strong>THOGONAL);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF-P</strong>ARSIMAX;
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− | | width="120" | OBLIQUE
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF- P</strong>ARSIMAX (<strong>OB</strong>LIQUE);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF- P</strong>ARSIMAX (<strong>OR</strong>THOGONAL);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF-F</strong>ACPARSIM;
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− | | width="120" | OBLIQUE
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF- F</strong>ACPARSIM (<strong>OB</strong>LIQUE);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CF- F</strong>ACPARSIM (<strong>OR</strong>THOGONAL);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CRAW</strong>FER;
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− | | width="120" | OBLIQUE 1/p
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CRAW</strong>FER (<strong>OB</strong>LIQUE value);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>CRAW</strong>FER (<strong>OR</strong>THOGONAL value);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>OBLIM</strong>IN;
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− | | width="120" | OBLIQUE 0
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>OBLIM</strong>IN (<strong>OB</strong>LIQUE value);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>OBLIM</strong>IN (<strong>OR</strong>THOGONAL value);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>VAR</strong>IMAX;
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>PRO</strong>MAX;
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>TAR</strong>GET;
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>BI-GEO</strong>MIN;
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− | | width="120" | OBLIQUE
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>BI-GEO</strong>MIN (<strong>OB</strong>LIQUE);
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>BI-GEO</strong>MIN (<strong>OR</strong>THOGONAL);
| |
− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>BI-CF-Q</strong>UARTIMAX;
| |
− | | width="120" | OBLIQUE
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>BI-CF-Q</strong>UARTIMAX (<strong>OB</strong>LIQUE);
| |
− | | width="120" |
| |
− | |-
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− | | width="168" |
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− | | width="294" | <strong>BI-CF-Q</strong>UARTIMAX (<strong>OR</strong>THOGONAL);
| |
− | | width="120" |
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− | |-
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− | | width="168" | ROWSTANDARDIZATION =
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− | | width="294" | <strong>CORR</strong>ELATION;
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− | | width="120" | CORRELATION
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>KAIS</strong>ER;
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− | | width="120" |
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− | |-
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− | | width="168" |
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− | | width="294" | <strong>COVA</strong>RIANCE;
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− | | width="120" |
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− | |-
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− | | width="168" | PARALLEL =
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− | | width="294" | number;
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− | | width="120" | 0
| |
− | |-
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− | | width="168" | REPSE =
| |
− | | width="294" | <strong>BOOT</strong>STRAP;
| |
− | <strong>JACK</strong>KNIFE;
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− | <strong>JACK</strong>KNIFE<strong>1</strong>;
| |
− | <strong>JACK</strong>KNIFE<strong>2</strong>;
| |
− | BRR;
| |
− | FAY (#);
| |
− | | width="120" |
| |
| | | |
| | | |
| + | ==ANALYSIS子命令== |
| + | ANALYSIS命令有77条子命令。 |
| | | |
− | .3
| + | * TYPE = |
− | |-
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− | | width="168" | BASEHAZARD =
| |
− | | width="294" | ON;
| |
− | OFF;
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− | ON (<strong>EQ</strong>UAL);
| |
− | ON (<strong>UNEQ</strong>UAL);
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− | OFF (<strong>EQ</strong>UAL);
| |
− | OFF (<strong>UNEQ</strong>UAL);
| |
− | | width="120" | depends on
| |
− | analysis type
| |
− | EQUAL
| |
| | | |
− | EQUAL
| + | * ESTIMATOR = |
− | |-
| |
− | | width="168" | CHOLESKY =
| |
− | | width="294" | ON;
| |
− | OFF;
| |
− | | width="120" | depends on
| |
− | analysis type
| |
− | |-
| |
− | | width="168" | ALGORITHM =
| |
− | | width="294" | EM;
| |
− | | width="120" | depends on
| |
− | |-
| |
− | | width="168" |
| |
− | | width="294" | EMA;
| |
− | | width="120" | analysis type
| |
− | |-
| |
− | | width="168" |
| |
− | | width="294" | FS;
| |
− | ODLL;
| |
− | <strong>INT</strong>EGRATION;
| |
− | | width="120" |
| |
− | |-
| |
− | | width="168" | INTEGRATION =
| |
− | | width="294" | number of integration points;
| |
− | <strong>STAND</strong>ARD (number of integration points) ;
| |
| | | |
− | <strong>GAUSS</strong>HERMITE (number of integration points) ;
| + | * MODEL = |
− | <strong>MONTE</strong>CARLO (number of integration points);
| |
− | | width="120" | STANDARD
| |
− | depends on
| |
− | analysis type
| |
− | 15
| |
| | | |
− | depends on
| + | * ALIGNMENT = |
− | analysis type
| + | |
− | |-
| + | * DISTRIBUTION = |
− | | width="168" | MCSEED =
| + | |
− | | width="294" | random seed for Monte Carlo integration;
| + | * PARAMETERIZATION = |
− | | width="120" | 0
| + | |
− | |-
| + | * LINK = |
− | | width="168" | ADAPTIVE =
| + | |
− | | width="294" | ON;
| + | * ROTATION = |
− | OFF;
| + | |
− | | width="120" | ON
| + | * ROWSTANDARDIZATION = |
− | |-
| + | |
− | | width="168" | INFORMATION =
| + | * PARALLEL = |
− | | width="294" | <strong>OBS</strong>ERVED;
| + | |
− | | width="120" | depends on
| + | * REPSE = |
− | |-
| + | |
− | | width="168" |
| + | * BASEHAZARD = |
− | | width="294" | <strong>EXP</strong>ECTED;
| + | |
− | | width="120" | analysis type
| + | * CHOLESKY = |
− | |-
| + | |
− | | width="168" |
| + | * ALGORITHM = |
− | | width="294" | <strong>COMB</strong>INATION;
| + | |
− | | width="120" |
| + | * INTEGRATION = |
− | |-
| + | |
− | | width="168" | BOOTSTRAP =
| + | * MCSEED = |
− | | width="294" | number of bootstrap draws;
| + | |
− | number of bootstrap draws (<strong>STAND</strong>ARD);
| + | * ADAPTIVE = |
− | number of bootstrap draws (<strong>RES</strong>IDUAL):
| + | |
− | | width="120" | STANDARD
| + | * INFORMATION = |
− | |-
| + | |
− | | width="168" | LRTBOOTSTRAP =
| + | * BOOTSTRAP = |
− | | width="294" | number of bootstrap draws for TECH14;
| + | |
− | | width="120" | depends on
| + | * LRTBOOTSTRAP = |
− | analysis type
| + | |
− | |-
| + | * STARTS = |
− | | width="168" | STARTS =
| + | |
− | | width="294" | number of initial stage starts and number of final stage optimizations;
| + | * STITERATIONS = |
− | | width="120" | depends on
| + | |
− | analysis type
| + | * STCONVERGENCE = |
− | |-
| + | |
− | | width="168" | STITERATIONS =
| + | * STSCALE = |
− | | width="294" | number of initial stage iterations;
| + | |
− | | width="120" | 10
| + | * STSEED = |
− | |-
| + | |
− | | width="168" | STCONVERGENCE =
| + | * OPTSEED = |
− | | width="294" | initial stage convergence criterion;
| + | |
− | | width="120" | 1
| + | * K-1STARTS = |
− | |-
| + | |
− | | width="168" | STSCALE =
| + | * LRTSTARTS = |
− | | width="294" | random start scale;
| + | |
− | | width="120" | 5
| + | * RSTARTS = |
− | |-
| + | |
− | | width="168" | STSEED =
| + | * ASTARTS = |
− | | width="294" | random seed for generating random starts;
| + | |
− | | width="120" | 0
| + | * H1STARTS = |
− | |-
| + | |
− | | width="168" | OPTSEED =
| + | * DIFFTEST = |
− | | width="294" | random seed for analysis;
| + | |
− | | width="120" |
| + | * MULTIPLIER = |
− | |-
| + | |
− | | width="168" | K-1STARTS =
| + | * COVERAGE = |
− | | width="294" | number of initial stage starts and number of final stage optimizations for the k-1 class model for TECH14;
| + | |
− | | width="120" | 20 4
| + | * ADDFREQUENCY = |
− | |-
| + | |
− | | width="168" | LRTSTARTS =
| + | * ITERATIONS = |
− | | width="294" | number of initial stage starts and number of final stage optimizations for TECH14;
| + | |
− | | width="120" | 0 0 40 8
| + | * SDITERATIONS = |
− | |-
| + | |
− | | width="168" | RSTARTS =
| + | * H1ITERATIONS = |
− | | width="294" | number of random starts for the rotation algorithm and number of factor solutions printed for exploratory factor analysis;
| + | |
− | | width="120" | depends on
| + | * MITERATIONS = |
− | analysis type
| + | |
− | |-
| + | * MCITERATIONS = |
− | | width="168" | ASTARTS =
| + | |
− | | width="294" | number of random starts for the alignment
| + | * MUITERATIONS = |
− | optimization;
| + | |
− | | width="120" | 30
| + | * RITERATIONS = |
− | |-
| + | |
− | | width="168" | H1STARTS =
| + | * AITERATIONS = |
− | | width="294" | Number of initial stage starts and number of final stage optimizations for the H1 model;
| + | |
− | | width="120" | 0 0
| + | * CONVERGENCE = |
− | |-
| + | |
− | | width="168" | DIFFTEST =
| + | * H1CONVERGENCE = |
− | | width="294" | file name;
| + | |
− | | width="120" |
| + | * LOGCRITERION = |
− | |-
| + | |
− | | width="168" | MULTIPLIER =
| + | * RLOGCRITERION = |
− | | width="294" | file name;
| + | |
− | | width="120" |
| + | * MCONVERGENCE = |
− | |-
| + | |
− | | width="168" | COVERAGE =
| + | * MCCONVERGENCE = |
− | | width="294" | minimum covariance coverage with missing data;
| + | |
− | | width="120" | .10
| + | * MUCONVERGENCE = |
− | |-
| + | |
− | | width="168" | ADDFREQUENCY =
| + | * RCONVERGENCE = |
− | | width="294" | value divided by sample size to add to cells with zero frequency;
| + | |
− | | width="120" | .5
| + | * ACONVERGENCE = |
− | |-
| + | |
− | | width="168" | ITERATIONS =
| + | * MIXC = |
− | | width="294" | maximum number of iterations for the Quasi-Newton algorithm for continuous outcomes;
| + | |
− | | width="120" | 1000
| + | * MIXU = |
− | |-
| + | |
− | | width="168" | SDITERATIONS =
| + | * LOGHIGH = |
− | | width="294" | maximum number of steepest descent iterations for the Quasi-Newton algorithm for continuous outcomes;
| + | |
− | | width="120" | 20
| + | * LOGLOW = |
− | |-
| + | |
− | | width="168" | H1ITERATIONS =
| + | * UCELLSIZE = |
− | | width="294" | maximum number of iterations for unrestricted model with missing data;
| + | |
− | | width="120" | 2000
| + | * VARIANCE = |
− | |-
| + | |
− | | width="168" | MITERATIONS =
| + | * SIMPLICITY = |
− | | width="294" | number of iterations for the EM algorithm;
| + | |
− | | width="120" | 500
| + | * TOLERANCE = |
− | |-
| + | |
− | | width="168" | MCITERATIONS =
| + | * METRIC= |
− | | width="294" | number of iterations for the M step of the EM algorithm for categorical latent variables;
| + | |
− | | width="120" | 1
| + | * MATRIX = |
− | |-
| + | |
− | | width="168" | MUITERATIONS =
| + | * POINT = |
− | | width="294" | number of iterations for the M step of the EM algorithm for censored, categorical, and count outcomes;
| + | |
− | | width="120" | 1
| + | * CHAINS = |
− | |-
| + | |
− | | width="168" | RITERATIONS =
| + | * BSEED = |
− | | width="294" | maximum number of iterations in the rotation algorithm for exploratory factor analysis;
| + | |
− | | width="120" | 10000
| + | * STVALUES = |
− | |-
| + | |
− | | width="168" | AITERATIONS =
| + | * MEDIATOR = |
− | | width="294" | maximum number of iterations in the
| + | |
− | | width="120" | 5000
| + | * ALGORITHM = |
− | |-
| + | |
− | | width="168" |
| + | * BCONVERGENCE = |
− | | width="294" | alignment optimization;
| + | |
− | | width="120" |
| + | * BITERATIONS = |
− | |-
| + | |
− | | width="168" | CONVERGENCE =
| + | * FBITERATIONS = |
− | | width="294" | convergence criterion for the Quasi-Newton algorithm for continuous outcomes;
| + | |
− | | width="120" | depends on
| + | * THIN = |
− | analysis type
| + | |
− | |-
| + | * MDITERATIONS = |
− | | width="168" | H1CONVERGENCE =
| + | |
− | | width="294" | convergence criterion for unrestricted model with missing data;
| + | * KOLMOGOROV = |
− | | width="120" | .0001
| + | |
− | |-
| + | * PRIOR = |
− | | width="168" | LOGCRITERION =
| + | |
− | | width="294" | likelihood convergence criterion for the EM algorithm;
| + | * INTERACTIVE = |
− | | width="120" | depends on
| + | |
− | analysis type
| + | * PROCESSORS = |
− | |-
| |
− | | width="168" | RLOGCRITERION =
| |
− | | width="294" | relative likelihood convergence criterion for the EM algorithm;
| |
− | | width="120" | depends on
| |
− | analysis type
| |
− | |-
| |
− | | width="168" | MCONVERGENCE =
| |
− | | width="294" | convergence criterion for the EM algorithm;
| |
− | | width="120" | depends on
| |
− | analysis type
| |
− | |-
| |
− | | width="168" | MCCONVERGENCE =
| |
− | | width="294" | convergence criterion for the M step of the EM algorithm for categorical latent variables;
| |
− | | width="120" | .000001
| |
− | |-
| |
− | | width="168" | MUCONVERGENCE =
| |
− | | width="294" | convergence criterion for the M step of the EM algorithm for censored, categorical, and count outcomes;
| |
− | | width="120" | .000001
| |
− | |-
| |
− | | width="168" | RCONVERGENCE =
| |
− | | width="294" | convergence criterion for the rotation algorithm for exploratory factor analysis;
| |
− | | width="120" | .00001
| |
− | |-
| |
− | | width="168" | ACONVERGENCE =
| |
− | | width="294" | convergence criterion for the derivatives of
| |
− | the alignment optimization;.
| |
− | | width="120" | .001
| |
− | |-
| |
− | | width="168" | MIXC =
| |
− | | width="294" | <strong>ITER</strong>ATIONS;
| |
− | | width="120" | ITERATIONS
| |
− | |-
| |
− | | width="168" |
| |
− | | width="294" | <strong>CONV</strong>ERGENCE;
| |
− | | width="120" |
| |
− | |-
| |
− | | width="168" |
| |
− | | width="294" | M step iteration termination based on number of iterations or convergence for categorical latent variables;
| |
− | | width="120" |
| |
− | |-
| |
− | | width="168" | MIXU =
| |
− | | width="294" | <strong>ITER</strong>ATIONS;
| |
− | | width="120" | ITERATIONS
| |
− | |-
| |
− | | width="168" |
| |
− | | width="294" | <strong>CONV</strong>ERGENCE;
| |
− | | width="120" |
| |
− | |-
| |
− | | width="168" |
| |
− | | width="294" | M step iteration termination based on number of iterations or convergence for censored, categorical, and count outcomes;
| |
− | | width="120" |
| |
− | |-
| |
− | | width="168" | LOGHIGH =
| |
− | | width="294" | max value for logit thresholds;
| |
− | | width="120" | +15
| |
− | |-
| |
− | | width="168" | LOGLOW =
| |
− | | width="294" | min value for logit thresholds;
| |
− | | width="120" | - 15
| |
− | |-
| |
− | | width="168" | UCELLSIZE =
| |
− | | width="294" | minimum expected cell size;
| |
− | | width="120" | .01
| |
− | |-
| |
− | | width="168" | VARIANCE =
| |
− | | width="294" | minimum variance value;
| |
− | | width="120" | .0001
| |
− | |-
| |
− | | width="168" | SIMPLICITY =
| |
− | | width="294" | SQRT;
| |
− | | width="120" | SQRT
| |
− | |-
| |
− | | width="168" |
| |
− | | width="294" | <strong>FOUR</strong>THRT;
| |
− | | width="120" |
| |
− | |-
| |
− | | width="168" | TOLERANCE =
| |
− | | width="294" | simplicity tolerance value;
| |
− | | width="120" | .0001
| |
− | |-
| |
− | | width="168" | METRIC=
| |
− | | width="294" | <strong>REFG</strong>ROUP;
| |
− | | width="120" | REFGROUP
| |
− | |-
| |
− | | width="168" |
| |
− | | width="294" | <strong>PROD</strong>UCT;
| |
− | | width="120" |
| |
− | |-
| |
− | | width="168" | MATRIX =
| |
− | | width="294" | <strong>COVA</strong>RIANCE;
| |
− | | width="120" | COVARIANCE
| |
− | |-
| |
− | | width="168" |
| |
− | | width="294" | <strong>CORR</strong>ELATION;
| |
− | | width="120" |
| |
− | |-
| |
− | | width="168" | POINT =
| |
− | | width="294" | <strong>MED</strong>IAN;
| |
− | MEAN;
| |
− | MODE;
| |
− | | width="120" | MEDIAN
| |
− | |-
| |
− | | width="168" | CHAINS =
| |
− | | width="294" | number of MCMC chains;
| |
− | | width="120" | 2
| |
− | |-
| |
− | | width="168" | BSEED =
| |
− | | width="294" | seed for MCMC random number generation;
| |
− | | width="120" | 0
| |
− | |-
| |
− | | width="168" | STVALUES =
| |
− | | width="294" | <strong>UNPER</strong>TURBED;
| |
− | <strong>PERT</strong>URBED;
| |
− | ML;
| |
− | | width="120" | UNPERTURBED
| |
− | |-
| |
− | | width="168" | MEDIATOR =
| |
− | | width="294" | <strong>LAT</strong>ENT;
| |
− | <strong>OBS</strong>ERVED;
| |
− | | width="120" | depends on
| |
− | analysis type
| |
− | |-
| |
− | | width="168" | ALGORITHM =
| |
− | | width="294" | GIBBS;
| |
− | GIBBS (PX1);
| |
− | GIBBS (PX2);
| |
− | GIBBS (PX3);
| |
− | GIBBS (RW);
| |
− | MH;
| |
− | | width="120" | GIBBS (PX1)
| |
− | |-
| |
− | | width="168" | BCONVERGENCE =
| |
− | | width="294" | MCMC convergence criterion using Gelman-Rubin PSR;
| |
− | | width="120" | .05
| |
− | |-
| |
− | | width="168" | BITERATIONS =
| |
− | | width="294" | maximum and minimum number of iterations for each MCMC chain when Gelman-Rubin PSR is used;
| |
− | | width="120" | 50000 0
| |
− | |-
| |
− | | width="168" | FBITERATIONS =
| |
− | | width="294" | fixed number of iterations for each MCMC chain when Gelman-Rubin PSR is not used;
| |
− | | width="120" |
| |
− | |-
| |
− | | width="168" | THIN =
| |
− | | width="294" | k where every k-th MCMC iteration is saved;
| |
− | | width="120" | 1
| |
− | |-
| |
− | | width="168" | MDITERATIONS =
| |
− | | width="294" | maximum number of iterations used to compute the Bayes multivariate mode;
| |
− | | width="120" | 10000
| |
− | |-
| |
− | | width="168" | KOLMOGOROV =
| |
− | | width="294" | number of draws from the MCMC chains;
| |
− | | width="120" | 100
| |
− | |-
| |
− | | width="168" | PRIOR =
| |
− | | width="294" | number of draws from the prior distribution;
| |
− | | width="120" | 1000
| |
− | |-
| |
− | | width="168" | INTERACTIVE =
| |
− | | width="294" | file name;
| |
− | | width="120" |
| |
− | |-
| |
− | | width="168" | PROCESSORS =
| |
− | | width="294" | # of processors # of threads;
| |
− | | width="120" | 1 1</tbody>
| |
− | |}
| |