plot_check_pairwise_SLORD: Posterior predictive checking for nested partially latent...

Description Usage Arguments Value See Also

View source: R/plot-model-check.R

Description

At each MCMC iteration, we generate a new data set based on the model and parameter values at that iteration. The sample size of the new data set equals that of the actual data set, i.e. the same number of cases and controls.

Usage

1
plot_check_pairwise_SLORD(DIR_NPLCM, slice = 1)

Arguments

DIR_NPLCM

File path to the folder that stores results from npLCM fit.

slice

Default is 1, for the first slice of BrS data.

Value

A figure of posterior predicted log odds ratio compared with the observed log odds ratio for the BrS data. The function generates this figure in your working directory automatically.

See Also

Other visualization functions: plot_BrS_panel(), plot_SS_panel(), plot_check_common_pattern(), plot_etiology_regression(), plot_etiology_side_by_side(), plot_etiology_strat_nested(), plot_etiology_strat(), plot_group_etiology(), plot_panels(), plot_pie_panel(), plot_selected_etiology(), plot_subwt_regression()


oslerinhealth/baker documentation built on May 22, 2021, 12:05 p.m.