“Mplus MONTECARLO”的版本间的差异
来自OBHRM百科
Lichaoping（讨论 | 贡献） （创建页面，内容为“==MONTECARLO命令语法==”） |
Lichaoping（讨论 | 贡献） |
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==MONTECARLO命令语法== | ==MONTECARLO命令语法== | ||
| + | <pre>MONTECARLO: | ||
| + | NAMES = names of variables; | ||
| + | NOBSERVATIONS = number of observations; | ||
| + | NGROUPS = number of groups; 1 | ||
| + | NREPS = number of replications; 1 | ||
| + | SEED = random seed for data generation; 0 | ||
| + | GENERATE = scale of dependent variables for data generation; | ||
| + | CUTPOINTS = thresholds to be used for categorization of covariates; | ||
| + | GENCLASSES = names of categorical latent variables (number of latent classes used for data generation); | ||
| + | NCSIZES = number of unique cluster sizes for each group separated by the | symbol; | ||
| + | CSIZES = number (cluster size) for each group separated by the | symbol; | ||
| + | HAZARDC = specifies the hazard for the censoring process; | ||
| + | PATMISS = missing data patterns and proportion missing for each dependent variable; | ||
| + | PATPROBS = proportion for each missing data pattern; | ||
| + | MISSING = names of dependent variables that have missing data; | ||
| + | CENSORED ARE names and limits of censored-normal dependent variables; | ||
| + | CATEGORICAL ARE names of ordered categorical dependent variables; | ||
| + | NOMINAL ARE names of unordered categorical dependent variables; | ||
| + | COUNT ARE names of count variables; | ||
| + | CLASSES = names of categorical latent variables (number of latent classes used for model estimation); | ||
| + | AUXILIARY = names of auxiliary variables (R3STEP); | ||
| + | names of auxiliary variables (R); | ||
| + | names of auxiliary variables (BCH); | ||
| + | names of auxiliary variables (DU3STEP); | ||
| + | names of auxiliary variables (DCATEGORICAL); | ||
| + | names of auxiliary variables (DE3STEP); | ||
| + | names of auxiliary variables (DCONTINUOUS); | ||
| + | names of auxiliary variables (E); | ||
| + | SURVIVAL = names and time intervals for time-to-event variables; | ||
| + | TSCORES = names, means, and standard deviations of observed variables with information on individually-varying times of observation; | ||
| + | WITHIN = names of individual-level observed variables; | ||
| + | BETWEEN = names of cluster-level observed variables; | ||
| + | POPULATION = name of file containing population parameter values for data generation; | ||
| + | COVERAGE = name of file containing population parameter values for computing parameter coverage; | ||
| + | STARTING = name of file containing parameter values for use as starting values for the analysis; | ||
| + | REPSAVE = numbers of the replications to save data from or ALL; | ||
| + | SAVE = name of file in which generated data are stored; | ||
| + | RESULTS = name of file in which analysis results are stored; | ||
| + | BPARAMETERS = name of file in which Bayesian posterior parameter values are stored; </pre> | ||
2017年3月12日 (日) 14:39的最新版本
MONTECARLO命令语法
MONTECARLO:
NAMES = names of variables;
NOBSERVATIONS = number of observations;
NGROUPS = number of groups; 1
NREPS = number of replications; 1
SEED = random seed for data generation; 0
GENERATE = scale of dependent variables for data generation;
CUTPOINTS = thresholds to be used for categorization of covariates;
GENCLASSES = names of categorical latent variables (number of latent classes used for data generation);
NCSIZES = number of unique cluster sizes for each group separated by the | symbol;
CSIZES = number (cluster size) for each group separated by the | symbol;
HAZARDC = specifies the hazard for the censoring process;
PATMISS = missing data patterns and proportion missing for each dependent variable;
PATPROBS = proportion for each missing data pattern;
MISSING = names of dependent variables that have missing data;
CENSORED ARE names and limits of censored-normal dependent variables;
CATEGORICAL ARE names of ordered categorical dependent variables;
NOMINAL ARE names of unordered categorical dependent variables;
COUNT ARE names of count variables;
CLASSES = names of categorical latent variables (number of latent classes used for model estimation);
AUXILIARY = names of auxiliary variables (R3STEP);
names of auxiliary variables (R);
names of auxiliary variables (BCH);
names of auxiliary variables (DU3STEP);
names of auxiliary variables (DCATEGORICAL);
names of auxiliary variables (DE3STEP);
names of auxiliary variables (DCONTINUOUS);
names of auxiliary variables (E);
SURVIVAL = names and time intervals for time-to-event variables;
TSCORES = names, means, and standard deviations of observed variables with information on individually-varying times of observation;
WITHIN = names of individual-level observed variables;
BETWEEN = names of cluster-level observed variables;
POPULATION = name of file containing population parameter values for data generation;
COVERAGE = name of file containing population parameter values for computing parameter coverage;
STARTING = name of file containing parameter values for use as starting values for the analysis;
REPSAVE = numbers of the replications to save data from or ALL;
SAVE = name of file in which generated data are stored;
RESULTS = name of file in which analysis results are stored;
BPARAMETERS = name of file in which Bayesian posterior parameter values are stored;
