recover_levels: Recover the levels of varying effects in mcmc.list

In mcp: Regression with Multiple Change Points

Recover the levels of varying effects in mcmc.list

Description

Jags uses 1, 2, 3, ..., etc. for indexing of varying effects. This function adds back the original levels, whether numeric or string

Usage

recover_levels(samples, data, mcmc_col, data_col)

Arguments

samples	An mcmc.list with varying columns starting in mcmc_col.
data	A tibble or data.frame with the cols in data_col.
mcmc_col	A vector of strings.
data_col	A vector of strings. Has to be same length as mcmc_col.'

mcp documentation built on April 1, 2023, 12:03 a.m.