mcSample: Sample Predictor Distributions

In bbl: Boltzmann Bayes Learner

Description

Uses fitted BBL model to explore predictor distributions

Usage

mcSample(object, nsteps = 1000, verbose = 1, progress.bar = TRUE)

Arguments

object	Object of class bbl
nsteps	Total number of MC steps
verbose	Verbosity level of output
progress.bar	Display progress bar

Details

After bbl fit, the resulting model is used by this function to sample predictor distributions in each response group and find the most likely preditor set using MCMC.

Examples

titanic <- as.data.frame(Titanic)
b <- bbl(Survived~., data=titanic[,1:4], weights=titanic$Freq)
pxy <- mcSample(b)
pxy

bbl documentation built on Jan. 28, 2022, 1:07 a.m.