| Command | Usage |
|---|---|
| Variable definition | |
| DATA: | name of data file |
| VARIABLES: | names of variables in order, if not in data file |
| ORDINAL: | names of existing binary and ordinal variables |
| NOMINAL: | names of existing nominal variables |
| COUNT: | names of existing count variables |
| CLUSTERID: | names of existing cluster-level identifier variables |
| WEIGHT: | names of existing sampling weight variables |
| BYGROUP: | names of existing grouping variables for subgroup estimation |
| FIXED: | names of existing complete exogenous variables |
| MISSING: | missing value code |
| Variable creation and manipulation | |
| LATENT: | names of new latent variables to be defined |
| RANDOMEFFECT: | names of new latent variables |
| TRANSFORM: | transform or recode existing variables |
| CENTER: | center variables by grand or group mean |
| Model definition | |
| MODEL: | model syntax |
| SIMPLE: | request simple slopes in models with interaction |
| PARAMETERS: | define custom parameters, specify prior distributions |
| TEST: | request Bayesian Wald test or nested model comparison |
| FCS: | run fully conditional specification multiple imputation |
| Estimation settings | |
| BURN: | number of burn-in iterations |
| ITERATIONS: | number of iterations after burn-in, split across chains |
| CHAINS: | number of MCMC chains, default is 2 |
| NIMPS: | number of imputations to save, if exporting data |
| THIN: | number of iterations between saved imputations |
| OPTIONS: | options for default priors, exported data, and FCS |
| OUTPUT: | customize output statistics |
| SAVE: | save imputed datasets, parameter estimates, and posterior summaries |
8 More Models
Blimp can fit a wide variety of models, and the and the User’s Guide is an excellent resource with dozens of examples.
The table below offers a compact overview of the commands available in Blimp scripts and their usage. For more details, see the User’s Guide.