recover_levels: Recover the levels of varying effects in mcmc.list
In mcp: Regression with Multiple Change Points
recover_levels R Documentation
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 May 29, 2024, 6:15 a.m.
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| recover_levels | R Documentation |
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 |
data |
A tibble or data.frame with the cols in |
mcmc_col |
A vector of strings. |
data_col |
A vector of strings. Has to be same length as |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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