Package: pogit 1.3.0
Michaela Dvorzak
pogit: Bayesian Variable Selection for a Poisson-Logistic Model
Bayesian variable selection for regression models of under-reported count data as well as for (overdispersed) Poisson, negative binomal and binomial logit regression models using spike and slab priors.
Authors:
pogit_1.3.0.tar.gz
pogit_1.3.0.tar.gz(r-4.7-any)pogit_1.3.0.tar.gz(r-4.6-any)
pogit_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pogit/json (API)
| # Install 'pogit' in R: |
| install.packages('pogit', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- cervical - Cervical cancer data
- cervical_validation - Cervical cancer valiation data
- simul_binomial - Simulated data set
- simul_pois1 - Simulated data set
- simul_pois2 - Simulated data set
- simul1 - Simulated data set
- simul2 - Simulated data set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b0f4b72eaa. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 142 | ||
| source / vignettes | OK | 188 | ||
| linux-release-x86_64 | OK | 130 | ||
| wasm-release | OK | 119 |
Exports:logitBvsnegbinBvspogitBvspoissonBvs
Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfarverforcatsforeachformula.toolsgenericsggplot2glmnetgluegtablehavenhmsisobanditeratorsjomolabelinglatticelifecyclelme4logistfmagrittrMASSMatrixmgcvmiceminqamitmlnlmenloptrnnetnumDerivoperator.toolsordinalpanpillarpkgconfigplyrprettyunitsprogresspurrrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasrlangrpartS7scalesshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsviridisLitevroomwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian variable selection for a Poisson-Logistic model | pogit-package |
| Cervical cancer data | cervical |
| Cervical cancer valiation data | cervical_validation |
| Bayesian variable selection for the binomial logit model | logitBvs |
| Bayesian variable selection for the negative binomial model | negbinBvs |
| Plot an object of class 'pogit' | plot.pogit |
| Bayesian variable selection for the Pogit model | pogitBvs |
| Bayesian variable selection for the Poisson model | poissonBvs |
| Print an object of class 'pogit' | print.pogit |
| Simulated data set | simul_binomial |
| Simulated data set | simul_pois1 |
| Simulated data set | simul_pois2 |
| Simulated data set | simul1 |
| Simulated data set | simul2 |
| Summary for posterior of a 'pogit' object | print.summary.pogit summary.pogit |