HLSMcovplots | R Documentation |
Function plot posterior summaries (boxplots) for regression coefficients
HLSMcovplots(fitted.model, burnin=0, thin=1, verbose=TRUE)
fitted.model |
Model fit using HLSM fitting function; should be a HLSM or LSM object |
burnin |
Amount of burnin to remove |
thin |
Amount to thin each chain |
verbose |
logical to indicate whether message about order of covariates is included with plots |
The plots show posterior means and 50 and 95 percent equal-tailed credible intervals.
No return value, makes a plot in plotting window
Sam Adhikari & Tracy Sweet
Tracy M. Sweet, Andrew C. Thomas and Brian W. Junker (2013), "Hierarchical Network Models for Education Research: Hierarchical Latent Space Models", Journal of Educational and Behavorial Statistics.
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