Package: stepjglm 0.0.1
stepjglm: Variable Selection for Joint Modeling of Mean and Dispersion
A Package for selecting variables for the joint modeling of mean and dispersion (including models for mixture experiments) based on hypothesis testing and the quality of model's fit. In each iteration of the selection process, a criterion for checking the goodness of fit is used as a filter for choosing the terms that will be evaluated by a hypothesis test. Pinto & Pereira (2021) <arxiv:2109.07978>.
Authors:
stepjglm_0.0.1.tar.gz
stepjglm_0.0.1.zip(r-4.7)stepjglm_0.0.1.zip(r-4.6)stepjglm_0.0.1.zip(r-4.5)
stepjglm_0.0.1.tgz(r-4.6-any)stepjglm_0.0.1.tgz(r-4.5-any)
stepjglm_0.0.1.tar.gz(r-4.7-any)stepjglm_0.0.1.tar.gz(r-4.6-any)
stepjglm_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
stepjglm/json (API)
| # Install 'stepjglm' in R: |
| install.packages('stepjglm', repos = c('https://lealvespe.r-universe.dev', 'https://cloud.r-project.org')) |
- bread_mixture - Bread-making problem data
- injection_molding - Data from Injection molding experiment
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7860f67810. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 144 | ||
| source / vignettes | OK | 209 | ||
| linux-release-x86_64 | OK | 142 | ||
| macos-release-arm64 | OK | 215 | ||
| macos-oldrel-arm64 | OK | 166 | ||
| windows-devel | OK | 108 | ||
| windows-release | OK | 117 | ||
| windows-oldrel | OK | 101 | ||
| wasm-release | OK | 97 |
Exports:stepjglm
Dependencies:bootdemingDerivlatticelme4MASSMatrixmcrminqanlmenloptrrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulasrlangrobslopesrsq
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bread-making problem data | bread_mixture |
| Data from Injection molding experiment | injection_molding |
| Variable selection in joint modeling of mean and dispersion | stepjglm |
