# Bayesian Logistic Regression with Heavy-Tailed Priors

## Documentation for package ‘HTLR’ version 0.4-4

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

## Help Pages

HTLR-package | Bayesian Logistic Regression with Heavy-Tailed Priors
as.matrix.htlr.fit | Create a Matrix of Markov Chain Samples
colon | Colon Tissues
diabetes392 | Pima Indians Diabetes
evaluate_pred | Evaluate Prediction Results
gendata_FAM | Generate Simulated Data with Factor Analysis Model
gendata_MLR | Generate Simulated Data with Multinomial Logistic Regression Model
htlr | Fit a HTLR Model
htlr_prior | Generate Prior Configuration
nzero_idx | Get Indices of Non-Zero Coefficients
predict.htlr.fit | Make Prediction on New Data
split_data | Split Data into Train and Test Partitions
std | Standardizes a Design Matrix
summary.htlr.fit | Posterior Summaries