|
|
| 第1行： |
第1行： |
| − | ANALYSIS命令语法
| + | ==ANALYSIS命令语法== |
| − | {|class="wikitable"
| + | *HTML版请访问：http://www.statmodel.com/HTML_UG/chapter16V8.htm |
| − | | width=20% | ANALYSIS:
| |
| − | | width=50% |
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% |
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | TYPE =
| |
| − | | width=50% | <strong>GEN</strong>ERAL;
| |
| − | | width=30% | GENERAL
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong> BAS</strong>IC;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong> RAND</strong>OM;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong> COM</strong>PLEX;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>MIX</strong>TURE;
| |
| − | <strong> BAS</strong>IC;
| |
| − | <strong> RAND</strong>OM;
| |
| − | <strong> COM</strong>PLEX;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>TWO</strong>LEVEL;
| |
| − | <strong> BAS</strong>IC;
| |
| − | <strong> RAND</strong>OM;
| |
| − | <strong> MIX</strong>TURE;
| |
| − | <strong> COM</strong>PLEX;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>THREE</strong>LEVEL;
| |
| − | <strong> BAS</strong>IC;
| |
| − | <strong> RAND</strong>OM;
| |
| − | <strong> COM</strong>PLEX;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CROSS</strong>CLASSIFIED;
| |
| − | <strong> RAND</strong>OM;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | EFA # #;
| |
| − | <strong> BAS</strong>IC;
| |
| − | <strong> MIX</strong>TURE;
| |
| − | <strong> COM</strong>PLEX;
| |
| − | <strong> TWO</strong>LEVEL;
| |
| − | EFA # # UW* # # UB*;
| |
| − | EFA # # UW # # UB;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | ESTIMATOR =
| |
| − | | width=50% | ML;
| |
| − | | width=30% | depends on
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | MLM;
| |
| − | | width=30% | analysis type
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | MLMV;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | MLR;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | MLF;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | MUML;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | WLS;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | WLSM;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | WLSMV;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | ULS;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | ULSMV;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | GLS;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | BAYES;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | MODEL =
| |
| − | | width=50% | <strong>CONFIG</strong>URAL;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | METRIC;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | SCALAR;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>NOMEAN</strong>STRUCTURE;
| |
| − | | width=30% | means
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>NOCOV</strong>ARIANCES;
| |
| − | | width=30% | covariances
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>ALL</strong>FREE;
| |
| − | | width=30% | equal
| |
| − | |-
| |
| − | | width=20% | ALIGNMENT =
| |
| − | | width=50% | FIXED;
| |
| − | | width=30% | last class
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% |
| |
| − | | width=30% | CONFIGURAL
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | FIXED (reference class <strong>CONFIG</strong>URAL);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | FIXED (reference class BSEM);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | FREE;
| |
| − | | width=30% | last class
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% |
| |
| − | | width=30% | CONFIGURAL
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | FREE (reference class <strong>CONFIG</strong>URAL);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | FREE (reference class BSEM);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | DISTRIBUTION =
| |
| − | | width=50% | <strong>NORM</strong>AL;
| |
| − | | width=30% | NORMAL
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>SKEW</strong>NORMAL;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>TDIST</strong>RIBUTION;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | SKEWT;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | PARAMETERIZATION =
| |
| − | | width=50% | DELTA;
| |
| − | | width=30% | DELTA
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | THETA;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | LOGIT;
| |
| − | | width=30% | LOGIT
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>LOGLIN</strong>EAR;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>PROB</strong>ABILITY;
| |
| − | <strong>RESCOV</strong>ARIANCES;
| |
| − | | width=30% |
| |
| − | RESCOV
| |
| − | |-
| |
| − | | width=20% | LINK =
| |
| − | | width=50% | <strong>LOG</strong>IT;
| |
| − | | width=30% | LOGIT
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>PROB</strong>IT;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | ROTATION =
| |
| − | | width=50% | <strong>GEO</strong>MIN;
| |
| − | | width=30% | GEOMIN (OBLIQUE value)
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>GEO</strong>MIN (<strong>OB</strong>LIQUE value);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>GEO</strong>MIN (<strong>OR</strong>THOGONAL value);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>QUART</strong>IMIN;
| |
| − | | width=30% | OBLIQUE
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF-V</strong>ARIMAX;
| |
| − | | width=30% | OBLIQUE
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF-V</strong>ARIMAX (<strong>OB</strong>LIQUE);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF-V</strong>ARIMAX (<strong>OR</strong>THOGONAL);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF-Q</strong>UARTIMAX;
| |
| − | | width=30% | OBLIQUE
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF- Q</strong>UARTIMAX (<strong>OB</strong>LIQUE);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF- Q</strong>UARTIMAX (<strong>OR</strong>THOGONAL);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF-E</strong>QUAMAX;
| |
| − | | width=30% | OBLIQUE
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF- E</strong>QUAMAX (<strong>OB</strong>LIQUE);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF- E</strong>QUAMAX (<strong>OR</strong>THOGONAL);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF-P</strong>ARSIMAX;
| |
| − | | width=30% | OBLIQUE
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF- P</strong>ARSIMAX (<strong>OB</strong>LIQUE);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF- P</strong>ARSIMAX (<strong>OR</strong>THOGONAL);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF-F</strong>ACPARSIM;
| |
| − | | width=30% | OBLIQUE
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF- F</strong>ACPARSIM (<strong>OB</strong>LIQUE);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CF- F</strong>ACPARSIM (<strong>OR</strong>THOGONAL);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CRAW</strong>FER;
| |
| − | | width=30% | OBLIQUE 1/p
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CRAW</strong>FER (<strong>OB</strong>LIQUE value);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CRAW</strong>FER (<strong>OR</strong>THOGONAL value);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>OBLIM</strong>IN;
| |
| − | | width=30% | OBLIQUE 0
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>OBLIM</strong>IN (<strong>OB</strong>LIQUE value);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>OBLIM</strong>IN (<strong>OR</strong>THOGONAL value);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>VAR</strong>IMAX;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>PRO</strong>MAX;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>TAR</strong>GET;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>BI-GEO</strong>MIN;
| |
| − | | width=30% | OBLIQUE
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>BI-GEO</strong>MIN (<strong>OB</strong>LIQUE);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>BI-GEO</strong>MIN (<strong>OR</strong>THOGONAL);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>BI-CF-Q</strong>UARTIMAX;
| |
| − | | width=30% | OBLIQUE
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>BI-CF-Q</strong>UARTIMAX (<strong>OB</strong>LIQUE);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>BI-CF-Q</strong>UARTIMAX (<strong>OR</strong>THOGONAL);
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | ROWSTANDARDIZATION =
| |
| − | | width=50% | <strong>CORR</strong>ELATION;
| |
| − | | width=30% | CORRELATION
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>KAIS</strong>ER;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>COVA</strong>RIANCE;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | PARALLEL =
| |
| − | | width=50% | number;
| |
| − | | width=30% | 0
| |
| − | |-
| |
| − | | width=20% | REPSE =
| |
| − | | width=50% | <strong>BOOT</strong>STRAP;
| |
| − | <strong>JACK</strong>KNIFE;
| |
| − | <strong>JACK</strong>KNIFE<strong>1</strong>;
| |
| − | <strong>JACK</strong>KNIFE<strong>2</strong>;
| |
| − | BRR;
| |
| − | FAY (#);
| |
| − | | width=30% |
| |
| − | | |
| − | | |
| − | | |
| − | .3
| |
| − | |-
| |
| − | | width=20% | BASEHAZARD =
| |
| − | | width=50% | ON;
| |
| − | OFF;
| |
| − | ON (<strong>EQ</strong>UAL);
| |
| − | ON (<strong>UNEQ</strong>UAL);
| |
| − | OFF (<strong>EQ</strong>UAL);
| |
| − | OFF (<strong>UNEQ</strong>UAL);
| |
| − | | width=30% | depends on
| |
| − | analysis type
| |
| − | EQUAL
| |
| − | | |
| − | EQUAL
| |
| − | |-
| |
| − | | width=20% | CHOLESKY =
| |
| − | | width=50% | ON;
| |
| − | OFF;
| |
| − | | width=30% | depends on
| |
| − | analysis type
| |
| − | |-
| |
| − | | width=20% | ALGORITHM =
| |
| − | | width=50% | EM;
| |
| − | | width=30% | depends on
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | EMA;
| |
| − | | width=30% | analysis type
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | FS;
| |
| − | ODLL;
| |
| − | <strong>INT</strong>EGRATION;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | INTEGRATION =
| |
| − | | width=50% | number of integration points;
| |
| − | <strong>STAND</strong>ARD (number of integration points) ;
| |
| − | | |
| − | <strong>GAUSS</strong>HERMITE (number of integration points) ;
| |
| − | <strong>MONTE</strong>CARLO (number of integration points);
| |
| − | | width=30% | STANDARD
| |
| − | depends on
| |
| − | analysis type
| |
| − | 15
| |
| − | | |
| − | depends on
| |
| − | analysis type
| |
| − | |-
| |
| − | | width=20% | MCSEED =
| |
| − | | width=50% | random seed for Monte Carlo integration;
| |
| − | | width=30% | 0
| |
| − | |-
| |
| − | | width=20% | ADAPTIVE =
| |
| − | | width=50% | ON;
| |
| − | OFF;
| |
| − | | width=30% | ON
| |
| − | |-
| |
| − | | width=20% | INFORMATION =
| |
| − | | width=50% | <strong>OBS</strong>ERVED;
| |
| − | | width=30% | depends on
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>EXP</strong>ECTED;
| |
| − | | width=30% | analysis type
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>COMB</strong>INATION;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | BOOTSTRAP =
| |
| − | | width=50% | number of bootstrap draws;
| |
| − | number of bootstrap draws (<strong>STAND</strong>ARD);
| |
| − | number of bootstrap draws (<strong>RES</strong>IDUAL):
| |
| − | | width=30% | STANDARD
| |
| − | |-
| |
| − | | width=20% | LRTBOOTSTRAP =
| |
| − | | width=50% | number of bootstrap draws for TECH14;
| |
| − | | width=30% | depends on
| |
| − | analysis type
| |
| − | |-
| |
| − | | width=20% | STARTS =
| |
| − | | width=50% | number of initial stage starts and number of final stage optimizations;
| |
| − | | width=30% | depends on
| |
| − | analysis type
| |
| − | |-
| |
| − | | width=20% | STITERATIONS =
| |
| − | | width=50% | number of initial stage iterations;
| |
| − | | width=30% | 10
| |
| − | |-
| |
| − | | width=20% | STCONVERGENCE =
| |
| − | | width=50% | initial stage convergence criterion;
| |
| − | | width=30% | 1
| |
| − | |-
| |
| − | | width=20% | STSCALE =
| |
| − | | width=50% | random start scale;
| |
| − | | width=30% | 5
| |
| − | |-
| |
| − | | width=20% | STSEED =
| |
| − | | width=50% | random seed for generating random starts;
| |
| − | | width=30% | 0
| |
| − | |-
| |
| − | | width=20% | OPTSEED =
| |
| − | | width=50% | random seed for analysis;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | K-1STARTS =
| |
| − | | width=50% | number of initial stage starts and number of final stage optimizations for the k-1 class model for TECH14;
| |
| − | | width=30% | 20 4
| |
| − | |-
| |
| − | | width=20% | LRTSTARTS =
| |
| − | | width=50% | number of initial stage starts and number of final stage optimizations for TECH14;
| |
| − | | width=30% | 0 0 40 8
| |
| − | |-
| |
| − | | width=20% | RSTARTS =
| |
| − | | width=50% | number of random starts for the rotation algorithm and number of factor solutions printed for exploratory factor analysis;
| |
| − | | width=30% | depends on
| |
| − | analysis type
| |
| − | |-
| |
| − | | width=20% | ASTARTS =
| |
| − | | width=50% | number of random starts for the alignment
| |
| − | optimization;
| |
| − | | width=30% | 30
| |
| − | |-
| |
| − | | width=20% | H1STARTS =
| |
| − | | width=50% | Number of initial stage starts and number of final stage optimizations for the H1 model;
| |
| − | | width=30% | 0 0
| |
| − | |-
| |
| − | | width=20% | DIFFTEST =
| |
| − | | width=50% | file name;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | MULTIPLIER =
| |
| − | | width=50% | file name;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | COVERAGE =
| |
| − | | width=50% | minimum covariance coverage with missing data;
| |
| − | | width=30% | .10
| |
| − | |-
| |
| − | | width=20% | ADDFREQUENCY =
| |
| − | | width=50% | value divided by sample size to add to cells with zero frequency;
| |
| − | | width=30% | .5
| |
| − | |-
| |
| − | | width=20% | ITERATIONS =
| |
| − | | width=50% | maximum number of iterations for the Quasi-Newton algorithm for continuous outcomes;
| |
| − | | width=30% | 1000
| |
| − | |-
| |
| − | | width=20% | SDITERATIONS =
| |
| − | | width=50% | maximum number of steepest descent iterations for the Quasi-Newton algorithm for continuous outcomes;
| |
| − | | width=30% | 20
| |
| − | |-
| |
| − | | width=20% | H1ITERATIONS =
| |
| − | | width=50% | maximum number of iterations for unrestricted model with missing data;
| |
| − | | width=30% | 2000
| |
| − | |-
| |
| − | | width=20% | MITERATIONS =
| |
| − | | width=50% | number of iterations for the EM algorithm;
| |
| − | | width=30% | 500
| |
| − | |-
| |
| − | | width=20% | MCITERATIONS =
| |
| − | | width=50% | number of iterations for the M step of the EM algorithm for categorical latent variables;
| |
| − | | width=30% | 1
| |
| − | |-
| |
| − | | width=20% | MUITERATIONS =
| |
| − | | width=50% | number of iterations for the M step of the EM algorithm for censored, categorical, and count outcomes;
| |
| − | | width=30% | 1
| |
| − | |-
| |
| − | | width=20% | RITERATIONS =
| |
| − | | width=50% | maximum number of iterations in the rotation algorithm for exploratory factor analysis;
| |
| − | | width=30% | 10000
| |
| − | |-
| |
| − | | width=20% | AITERATIONS =
| |
| − | | width=50% | maximum number of iterations in the
| |
| − | | width=30% | 5000
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | alignment optimization;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | CONVERGENCE =
| |
| − | | width=50% | convergence criterion for the Quasi-Newton algorithm for continuous outcomes;
| |
| − | | width=30% | depends on
| |
| − | analysis type
| |
| − | |-
| |
| − | | width=20% | H1CONVERGENCE =
| |
| − | | width=50% | convergence criterion for unrestricted model with missing data;
| |
| − | | width=30% | .0001
| |
| − | |-
| |
| − | | width=20% | LOGCRITERION =
| |
| − | | width=50% | likelihood convergence criterion for the EM algorithm;
| |
| − | | width=30% | depends on
| |
| − | analysis type
| |
| − | |-
| |
| − | | width=20% | RLOGCRITERION =
| |
| − | | width=50% | relative likelihood convergence criterion for the EM algorithm;
| |
| − | | width=30% | depends on
| |
| − | analysis type
| |
| − | |-
| |
| − | | width=20% | MCONVERGENCE =
| |
| − | | width=50% | convergence criterion for the EM algorithm;
| |
| − | | width=30% | depends on
| |
| − | analysis type
| |
| − | |-
| |
| − | | width=20% | MCCONVERGENCE =
| |
| − | | width=50% | convergence criterion for the M step of the EM algorithm for categorical latent variables;
| |
| − | | width=30% | .000001
| |
| − | |-
| |
| − | | width=20% | MUCONVERGENCE =
| |
| − | | width=50% | convergence criterion for the M step of the EM algorithm for censored, categorical, and count outcomes;
| |
| − | | width=30% | .000001
| |
| − | |-
| |
| − | | width=20% | RCONVERGENCE =
| |
| − | | width=50% | convergence criterion for the rotation algorithm for exploratory factor analysis;
| |
| − | | width=30% | .00001
| |
| − | |-
| |
| − | | width=20% | ACONVERGENCE =
| |
| − | | width=50% | convergence criterion for the derivatives of
| |
| − | the alignment optimization;.
| |
| − | | width=30% | .001
| |
| − | |-
| |
| − | | width=20% | MIXC =
| |
| − | | width=50% | <strong>ITER</strong>ATIONS;
| |
| − | | width=30% | ITERATIONS
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CONV</strong>ERGENCE;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | M step iteration termination based on number of iterations or convergence for categorical latent variables;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | MIXU =
| |
| − | | width=50% | <strong>ITER</strong>ATIONS;
| |
| − | | width=30% | ITERATIONS
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CONV</strong>ERGENCE;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | M step iteration termination based on number of iterations or convergence for censored, categorical, and count outcomes;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | LOGHIGH =
| |
| − | | width=50% | max value for logit thresholds;
| |
| − | | width=30% | +15
| |
| − | |-
| |
| − | | width=20% | LOGLOW =
| |
| − | | width=50% | min value for logit thresholds;
| |
| − | | width=30% | - 15
| |
| − | |-
| |
| − | | width=20% | UCELLSIZE =
| |
| − | | width=50% | minimum expected cell size;
| |
| − | | width=30% | .01
| |
| − | |-
| |
| − | | width=20% | VARIANCE =
| |
| − | | width=50% | minimum variance value;
| |
| − | | width=30% | .0001
| |
| − | |-
| |
| − | | width=20% | SIMPLICITY =
| |
| − | | width=50% | SQRT;
| |
| − | | width=30% | SQRT
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>FOUR</strong>THRT;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | TOLERANCE =
| |
| − | | width=50% | simplicity tolerance value;
| |
| − | | width=30% | .0001
| |
| − | |-
| |
| − | | width=20% | METRIC=
| |
| − | | width=50% | <strong>REFG</strong>ROUP;
| |
| − | | width=30% | REFGROUP
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>PROD</strong>UCT;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | MATRIX =
| |
| − | | width=50% | <strong>COVA</strong>RIANCE;
| |
| − | | width=30% | COVARIANCE
| |
| − | |-
| |
| − | | width=20% |
| |
| − | | width=50% | <strong>CORR</strong>ELATION;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | POINT =
| |
| − | | width=50% | <strong>MED</strong>IAN;
| |
| − | MEAN;
| |
| − | MODE;
| |
| − | | width=30% | MEDIAN
| |
| − | |-
| |
| − | | width=20% | CHAINS =
| |
| − | | width=50% | number of MCMC chains;
| |
| − | | width=30% | 2
| |
| − | |-
| |
| − | | width=20% | BSEED =
| |
| − | | width=50% | seed for MCMC random number generation;
| |
| − | | width=30% | 0
| |
| − | |-
| |
| − | | width=20% | STVALUES =
| |
| − | | width=50% | <strong>UNPER</strong>TURBED;
| |
| − | <strong>PERT</strong>URBED;
| |
| − | ML;
| |
| − | | width=30% | UNPERTURBED
| |
| − | |-
| |
| − | | width=20% | MEDIATOR =
| |
| − | | width=50% | <strong>LAT</strong>ENT;
| |
| − | <strong>OBS</strong>ERVED;
| |
| − | | width=30% | depends on
| |
| − | analysis type
| |
| − | |-
| |
| − | | width=20% | ALGORITHM =
| |
| − | | width=50% | GIBBS;
| |
| − | GIBBS (PX1);
| |
| − | GIBBS (PX2);
| |
| − | GIBBS (PX3);
| |
| − | GIBBS (RW);
| |
| − | MH;
| |
| − | | width=30% | GIBBS (PX1)
| |
| − | |-
| |
| − | | width=20% | BCONVERGENCE =
| |
| − | | width=50% | MCMC convergence criterion using Gelman-Rubin PSR;
| |
| − | | width=30% | .05
| |
| − | |-
| |
| − | | width=20% | BITERATIONS =
| |
| − | | width=50% | maximum and minimum number of iterations for each MCMC chain when Gelman-Rubin PSR is used;
| |
| − | | width=30% | 50000 0
| |
| − | |-
| |
| − | | width=20% | FBITERATIONS =
| |
| − | | width=50% | fixed number of iterations for each MCMC chain when Gelman-Rubin PSR is not used;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | THIN =
| |
| − | | width=50% | k where every k-th MCMC iteration is saved;
| |
| − | | width=30% | 1
| |
| − | |-
| |
| − | | width=20% | MDITERATIONS =
| |
| − | | width=50% | maximum number of iterations used to compute the Bayes multivariate mode;
| |
| − | | width=30% | 10000
| |
| − | |-
| |
| − | | width=20% | KOLMOGOROV =
| |
| − | | width=50% | number of draws from the MCMC chains;
| |
| − | | width=30% | 100
| |
| − | |-
| |
| − | | width=20% | PRIOR =
| |
| − | | width=50% | number of draws from the prior distribution;
| |
| − | | width=30% | 1000
| |
| − | |-
| |
| − | | width=20% | INTERACTIVE =
| |
| − | | width=50% | file name;
| |
| − | | width=30% |
| |
| − | |-
| |
| − | | width=20% | PROCESSORS =
| |
| − | | width=50% | # of processors # of threads;
| |
| − | | width=30% | 1 1
| |
| − | |}
| |
