bkmrhat v0.1.16
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Parallel Chain Tools for Bayesian Kernel Machine Regression
Bayesian kernel machine regression (from the 'bkmr'
package) is a Bayesian semi-parametric generalized linear model
approach under identity and probit links. There are a number of
functions in this package that extend Bayesian kernel machine
regression fits to allow multiple-chain inference and diagnostics,
which leverage functions from the 'future', 'rstan', and 'coda'
packages. Reference: Bobb, J. F., Henn, B. C., Valeri, L., & Coull,
B. A. (2018). Statistical software for analyzing the health effects of
multiple concurrent exposures via Bayesian kernel machine regression.
; <doi:10.1186/s12940-018-0413-y>.
Functions in bkmrhat
| Name | Description | |
| PredictorResponseUnivar_parallel | Univariate predictor response summary by chain | |
| comb_bkmrfits | Combine multiple BKMR chains | |
| SingVarRiskSummaries_parallel | Single variable summary by chain | |
| as.mcmc.list.bkmrfit.list | Convert multi-chain bkmrfit to mcmc.list for coda MCMC diagnostics | |
| ExtractPIPs_parallel | Posterior inclusion probabilities by chain | |
| SamplePred_parallel | Posterior samples of E(Y|h(Z),X,beta) by chain | |
| OverallRiskSummaries_parallel | Overall summary by chain | |
| as.mcmc.bkmrfit | Convert bkmrfit to mcmc object for coda MCMC diagnostics | |
| PredictorResponseBivar_parallel | Bivariate predictor response by chain | |
| kmbayes_diag | MCMC diagnostics using rstan | |
| kmbayes_parallel | Run multiple BKMR chains in parallel | |
| predict.bkmrfit | Posterior mean/sd predictions | |
| No Results! | ||
Vignettes of bkmrhat
| Name | ||
| bkmrhat-vignette.Rmd | ||
| No Results! | ||
Last month downloads
Details
| Date | 2020-09-08 |
| License | GPL (>= 3) |
| VignetteBuilder | knitr |
| Encoding | UTF-8 |
| Language | en-US |
| LazyData | true |
| RoxygenNote | 7.1.0 |
| NeedsCompilation | no |
| Packaged | 2020-09-08 14:58:53 UTC; akeil |
| Repository | CRAN |
| Date/Publication | 2020-09-16 09:10:12 UTC |
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