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
