Bayesian Logistic Regression with Heavy-Tailed Priors

---

Documentation for package ‘HTLR’ version 0.4-4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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