Parallel Chain Tools for Bayesian Kernel Machine Regression
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Documentation for package ‘bkmrhat’ version 1.1.3
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 |