HLSM_plot: Function plot posterior summaries (boxplots) for regression...

HLSMcovplotsR 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.


HLSM documentation built on June 8, 2025, 10:49 a.m.

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