R: Non-Parametric Sampling with Parallel Monte Carlo

# Non-Parametric Sampling with Parallel Monte Carlo

## Documentation for package ‘PosteriorBootstrap’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

draw_logit_samples | Draw adaptive non-parametric learning samples for logistic regression
draw_stick_breaks | Draw stick-breaks depending on a concentration parameter
get_file | Get a file from extdata by name
get_german_credit_dataset | Load and pre-process the dataset that ships with the package
get_german_credit_file | Get the file with the German Statlog credit dataset
get_stan_file | Get the Stan file with Bayesian Logistic Regression
PosteriorBootstrap | A package with a parallel approach for adaptive non-parametric learning