R: Parallel Chain Tools for Bayesian Kernel Machine Regression

# Parallel Chain Tools for Bayesian Kernel Machine Regression

## Documentation for package ‘bkmrhat’ version 1.1.7

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

as.mcmc.bkmrfit | Convert bkmrfit to mcmc object for coda MCMC diagnostics
as.mcmc.list.bkmrfit.list | Convert multi-chain bkmrfit to mcmc.list for coda MCMC diagnostics
comb_bkmrfits | Combine multiple BKMR chains
comb_bkmrfits_lowmem | Combine multiple BKMR chains in lower memory settings
ExtractPIPs_parallel | Posterior inclusion probabilities by chain
kmbayes_combine | Combine multiple BKMR chains
kmbayes_combine_lowmem | Combine multiple BKMR chains in lower memory settings
kmbayes_continue | Continue sampling from existing bkmr fit
kmbayes_diag | MCMC diagnostics using rstan
kmbayes_diagnose | MCMC diagnostics using rstan
kmbayes_parallel | Run multiple BKMR chains in parallel
kmbayes_parallel_continue | Continue sampling from existing bkmr_parallel fit
OverallRiskSummaries_parallel | Overall summary by chain
predict.bkmrfit | Posterior mean/sd predictions
PredictorResponseBivar_parallel | Bivariate predictor response by chain
PredictorResponseUnivar_parallel | Univariate predictor response summary by chain
SamplePred_parallel | Posterior samples of E(Y|h(Z),X,beta) by chain
SingVarRiskSummaries_parallel | Single variable summary by chain