Man pages for dcbdan/s525
Implementation of common Bayesian models

factor_analysisRuns gibbs sampler for a factor model.
factor_analysis_with_regressionRuns gibbs sampler for a factor model with regression on the...
factor_infiniteRuns gibbs sampler for a factor model with potentially...
gibbsGibbs Sampler Skeleton
horseshoe_regressionGibbs Sampler for Horseshoe Regression
hpdAlonghpdAlong
mat_applymat apply
meanAlongmeanAlong
metropolisMetropolis MCMC
plackett_luceGibbs Sampler for posterior plackett luce parameters
probit_horseshoe_regressionGibbs Sampler for Probit Regression with Horseshoe Prior
probit_regressionGibbs Sampler for Probit Regression
rdirichletGenerate from a dirichlet distribution
ridge_regressionGibbs Sampler for Ridge Regression
rnorm_corkSample from multivariate normal distribution with potential...
rnorm_qinv_lSample from multivariate normal distribution
rnorm_qinv_l_cholSample from multivariate normal distribution
rnorm_qinv_l_eigenSample from multivariate normal distribution given symmetric...
rplackett_luceGenerate random permutations from a plackett luce...
rpost_regression_coefGenerate posterior for regression coefecients
rstnorm_ineq_corkSample from multivariate standard normal distribution with...
s525-packageImplementation of common Bayesian models
shrinkage_regression_plotPlot the MC chain of regression coeffecients compared to OLS.
sumAlongsumAlong
dcbdan/s525 documentation built on April 3, 2018, 6:55 a.m.