Package: BayesGWQS 0.1.1
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.zip(r-4.5)BayesGWQS_0.1.1.zip(r-4.4)BayesGWQS_0.1.1.zip(r-4.3)
BayesGWQS_0.1.1.tgz(r-4.4-any)BayesGWQS_0.1.1.tgz(r-4.3-any)
BayesGWQS_0.1.1.tar.gz(r-4.5-noble)BayesGWQS_0.1.1.tar.gz(r-4.4-noble)
BayesGWQS_0.1.1.tgz(r-4.4-emscripten)BayesGWQS_0.1.1.tgz(r-4.3-emscripten)
BayesGWQS.pdf |BayesGWQS.html✨
BayesGWQS/json (API)
NEWS
| # Install 'BayesGWQS' in R: |
| install.packages('BayesGWQS', repos = c('https://mmcarli.r-universe.dev', 'https://cloud.r-project.org')) |
- 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 3 years agofrom:cd612d26c0. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | NOTE | Nov 20 2024 |
| R-4.5-linux | NOTE | Nov 20 2024 |
| R-4.4-win | NOTE | Nov 20 2024 |
| R-4.4-mac | NOTE | Nov 20 2024 |
| R-4.3-win | NOTE | Nov 20 2024 |
| R-4.3-mac | NOTE | Nov 20 2024 |
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 |
