R: Bayesian Model for CACE Analysis

# Bayesian Model for CACE Analysis

## Documentation for package ‘BayesCACE’ version 1.2.3

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

cace.meta.c | Bayesian hierarchical models for CACE meta-analysis with complete compliance data
cace.meta.ic | Bayesian hierarchical models for CACE meta-analysis with incomplete compliance information
cace.study | CACE analysis for a single study, or a two-step approach for meta-analysis with complete complice information
coda.names | Get names of node array
coda.samples.dic | Generate posterior samples in mcmc.list format
epidural_c | Meta-analysis data with full compliance information
epidural_ic | Meta-analysis data without full compliance information
model.meta.c | Bayesian hierarchical model code for CACE meta-analysis with complete compliance data
model.meta.ic | Bayesian hierarchical model code for CACE meta-analysis with complete compliance data
model.study | Model code of CACE analysis for a single study, or a two-step approach for meta-analysis with complete complice information
parse.varname | Parse strings of specific form
plt.acf | this plot function creates an acf plot
plt.density | this plot function creates a density plot
plt.forest | this plot function makes a forest plot.
plt.noncomp | Plotting noncompliance rates for a given dataset
plt.trace | this plot function creates a traceplot
prior.meta | The function returns a custom string that specifies part of the model.
prior.study | The function returns a custom string that specifies part of the model (single-study).