HLSMcovplots {HLSM} | R Documentation |
Function plot posterior summaries (boxplots) for regression coefficients
Description
Function plot posterior summaries (boxplots) for regression coefficients
Usage
HLSMcovplots(fitted.model, burnin=0, thin=1, verbose=TRUE)
Arguments
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 |
Details
The plots show posterior means and 50 and 95 percent equal-tailed credible intervals.
Value
No return value, makes a plot in plotting window
Author(s)
Sam Adhikari & Tracy Sweet
References
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.
[Package HLSM version 0.9.2 Index]