This package is considered a duplicate. The official version of this package is found at:https://mmcarli.r-universe.dev/BayesGWQS
Package: BayesGWQS 0.1.1
Matthew Carli
BayesGWQS: Bayesian Grouped Weighted Quantile Sum Regression
Fits Bayesian grouped weighted quantile sum (BGWQS) regressions for one or more chemical groups with binary outcomes. Wheeler DC et al. (2019) <doi:10.1016/j.sste.2019.100286>.
Authors:
BayesGWQS_0.1.1.tar.gz
BayesGWQS_0.1.1.tar.gz(r-4.7-any)BayesGWQS_0.1.1.tar.gz(r-4.6-any)
BayesGWQS_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesGWQS/json (API)
NEWS
| # Install 'BayesGWQS' in R: |
| install.packages('BayesGWQS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- simdata - Simulated data of chemical concentrations and one binary outcome variable
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:cd612d26c0. Checks:2 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 110 | ||
| source / vignettes | OK | 153 | ||
| linux-release-x86_64 | NOTE | 111 | ||
| wasm-release | OK | 105 |
Exports:bgwqs.fitmake.Xmake.x.sweight.plot
Dependencies:clicodagluelatticelifecyclemagrittrplyrRcpprjagsrlangstringistringrvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Grouped WQS Regression | bgwqs.fit |
| Forms matrix of components | make.X |
| Forms component group ID vector of X | make.x.s |
| Simulated data of chemical concentrations and one binary outcome variable | simdata |
| Generates Plots of weights by group | weight.plot |
