| adaBridge | Adaptive Bayesian Bridge Regression |
| adaEnet | Bayesian Adaptive Elastic Net |
| adaEnetDC | Bayesian Adaptive Elastic Net with additional unpenalized... |
| adaLASSO | Adaptive Bayesian Lasso |
| adaLASSODC | Adaptive Bayesian Lasso with Unpenalized Design Covariates |
| apcDC | Adaptive Powered Correlation Prior with design covariates |
| apcGlm | Adaptive Powered Correlation Prior |
| apcSpike | Adaptive Powered Correlation Prior Stochastic Search Variable... |
| apcSpikeDC | Adaptive Powered Correlation Prior Stochastic Search Variable... |
| bayesEnet | Bayesian Elastic Net |
| bayesEnetDC | Bayesian Elastic Net with additional unpenalized design... |
| binomTest | One or Two Sample Binomial Tests |
| birthwt | Data Sets in Bayezilla Package |
| blasso | Bayesian LASSO |
| blassoDC | Bayesian Lasso with unpenalized design covariates |
| bootlmSolve | Bootstrap minimum norm regression |
| bridge | Bayesian Bridge Regression |
| bridgeDC | Bayesian Bridge Regression with unpenalized design covariates |
| compareCI | Check the sensitivity of credible intervals for the same data... |
| confusion.matrix | Binomial Confusion matrix for classification problems |
| corMat | Correlation Matrix Estimation (also returns partial... |
| corTest | Bivariate Correlation Test |
| cred_interval | Calculate Equal Tailed Quantile Intervals or Highest Density... |
| dal | Asymmetric Laplace probability density function |
| demo.dat | Data Sets in Bayezilla Package |
| demo.dat2 | Data Sets in Bayezilla Package |
| demo.dat3 | Data Sets in Bayezilla Package |
| demo.dat4 | Data Sets in Bayezilla Package |
| densPlot | Kernel Density Plot |
| diabetes | Data Sets in Bayezilla Package |
| diabetes2 | Data Sets in Bayezilla Package |
| dpowexp | Power Exponential probability density function |
| dshash | Sinh-Arcsinh (SHASH) probability density function |
| dst | Student-T probability density function |
| ecdf2d | Bivariate empirical cumulative density function plot |
| epdf2d | Bivariate kernel density plot |
| evidenceRatio | Obtain evidence ratios comparing two models |
| extLASSO | Extended Bayesian LASSO |
| extLASSODC | Extended Bayesian LASSO with unpenalized design covariates |
| extractCormat | Extract Point Estimate of Correlation Matrix |
| extractPost | Extract a posterior to a data frame |
| extractPred | Extract predicted y values (posterior predictions) |
| facetPost | Plot Multiple Posterior Distributions |
| gamBayes | Bayesian GAMs |
| gammaPars | Parameterize a Gamma Distribution by Mean and SD |
| gamSpike | Bayesian GAMs with Variable Selection |
| gdp | Generalized double pareto shrinkage prior |
| gdpDC | Generalized double pareto shrinkage prior with unpenalized... |
| genRidge | Generalized Ridge Regression |
| glmBayes | Bayesian GLMs |
| groupAdaEnet | Group+Within Group Selection with Bayesian Adaptive Elastic... |
| groupBLASSO | Group Bayesian Lasso |
| groupBridge | Bayesian Group Bridge Regression |
| groupEnet | Group Elastic Net for Gaussian Likelihood |
| groupExtLASSO | Group Extended Bayesian LASSO |
| groupNegLASSO | Group Normal-exponential-gamma Bayesian LASSO |
| groupSasp | Bayesian Group Shape Adaptive Shrinkage Prior Regression |
| groupSpike | Stochastic Search Variable Selection (Bernoulli-Normal... |
| heart | Data Sets in Bayezilla Package |
| hist | Modified Version of hist() with additional functionality |
| hist.default | Modified Version of hist() with additional functionality |
| HS | Horseshoe |
| HSDC | Horseshoe with unpenalized design covariates |
| hslm | Bayesian Ordinary Linear Regression with Error Variance... |
| HSplus | Horseshoe+ |
| HSreg | Regularized Horseshoe |
| IAt | Stochastic Search Variable Selection (Indicator Variable and... |
| IC | Get WAIC and/or LOO-IC |
| jaynes_psi | Compute Jaynes' Psi between two distributions |
| jeffreys_dist | Compute Jeffrey's Distance between two distributions |
| jointMode | Approximate the maximum joint posterior density estimate |
| kld | Compute the kullback leibler divergence |
| linpred | Generate predicted values from posterior samples for new... |
| lmSolve | Minimum Norm Regresion with Moore-Penrose Inverse |
| marginalModes | Get the marginal modes of a posterior distribution |
| modelWeights | Compute the posterior model weights from a vector of... |
| nclass.dhist | Density-based adaptive width histogram bins |
| negLASSO | Normal-exponential-gamma Bayesian LASSO |
| negLASSODC | Normal-exponential-gamma Bayesian LASSO with unpenalized... |
| pal | Asymmetric Laplace cumulative probability function |
| plotChains | MCMC Diagnostic Plots |
| plotCI | Plot Credible Intervals of a Bayesian Model |
| plotDist | plot a density function over a histogram |
| plotFunc | plot a function |
| plotIncl | Use the image function to plot the variables included at each... |
| plotNumvar | Plot distribution of num. of included vars. over iterations... |
| plotPips | plot inclusion probabilities from SSVS models |
| plotPost | Histogram of Posterior Distribution |
| plotVIF | Variance Inflation Factor Plot |
| poisTest | Poisson Test |
| postOdds | Get the posterior odds between a point estimator and a null... |
| post_summary | Get a tidy summary of a bayesian model |
| post_tibble | Convert posterior summary to tibble |
| pow | Raise a number to a power |
| ppowexp | Power Exponential cumulative probability function |
| prec | Compute the precision of a vector |
| prostate | Data Sets in Bayezilla Package |
| pseudoinverse | pseudoinverse |
| pshash | Sinh-Arcsinh (SHASH) cumulative probability function |
| pst | Student-T cumulative probability function |
| qal | Asymmetric Laplace quantile function |
| qpowexp | Power Exponential quantile function |
| qshash | Sinh-Arcsinh (SHASH) quantile function |
| qst | Student-T quantile function |
| ral | Asymmetric Laplace random number generator |
| rcorr | Generate Random Correlation Matrices |
| ridge | Ridge Regression |
| ridgeSpike | Ridge Regression Stochastic Search Variable Selection... |
| ROPE | Conduct a ROPE test |
| ROPEpval | Get ROPE p-values |
| rpowexp | Power Exponential random number generator |
| rshash | Sinh-Arcsinh (SHASH) random number generator |
| rst | Student-T random number generator |
| sasp | Shape Adaptive Shrinkage Prior |
| saspDC | Shape Adaptive Shrinkage Prior with Unpenalized Design... |
| scale | Scale a data frame or matrix |
| scatMat | Visualize your data with a scatterplot matrix |
| scatPlot | Bivariate Scatterplot |
| scatPlotH | Scatterplots with Marginal Histograms |
| sign_probs | sign_probs |
| spikePlot | Plot a large number of variable values as vertical lines |
| square | Square a number |
| theme_min | Tufte-inspired ggplot2 theme |
| tTest | Bayesian 't-tests' |
| vitals | Quickly calculate the rank, condition, positive definiteness,... |
| wines | Data Sets in Bayezilla Package |
| XtXinv | Obtain the inverse crossproduct of a matrix |
| zsDC | Zellner-Siow g-prior with design covariates |
| zsGlm | Zellner-Siow g-prior |
| zsRlm | Robust Zellner-Siow g-prior |
| zsRSpike | Robust Zellner-Siow g-prior Stochastic Search Variable... |
| zsSpike | Zellner-Siow g-prior Stochastic Search Variable Selection |
| zsSpikeDC | Zellner-Siow g-prior Stochasitc Search Variable Selection... |
