Package: rregm 1.1
Diego Gallardo
rregm: Reparameterized Regression Models
Provides estimation and data generation tools for several new regression models, including the gamma, beta, inverse gamma and beta prime distributions. These models can be parameterized based on the mean, median, mode, geometric mean and harmonic mean, as specified by the user. For details, see Bourguignon and Gallardo (2025a) <doi:10.1016/j.chemolab.2025.105382> and Bourguignon and Gallardo (2025b) <doi:10.1111/stan.70007>.
Authors:
rregm_1.1.tar.gz
rregm_1.1.tar.gz(r-4.7-any)rregm_1.1.tar.gz(r-4.6-any)
rregm_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rregm/json (API)
NEWS
| # Install 'rregm' in R: |
| install.packages('rregm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:79b01568ea. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 125 | ||
| source / vignettes | OK | 154 | ||
| linux-release-x86_64 | OK | 123 | ||
| wasm-release | OK | 101 |
Exports:AIC.rregmBEAMBEGMBEHMBEMDBEMOBIC.rregmcoef.rregmdBEAMdBEGMdBEHMdBEMDdBEMOdIGAMdIGGMdIGHMdIGMDdIGMOdRBEdRBPdRGAdRIGdRLNfit.RBEfit.RBPfit.RGAfit.RIGfit.RLNIGAMIGGMIGHMIGMDIGMOlogLik.rregmpBEAMpBEGMpBEHMpBEMDpBEMOpIGAMpIGGMpIGHMpIGMDpIGMOpRBEpRBPpRGApRIGprint.rregmpRLNqBEAMqBEGMqBEHMqBEMDqBEMOqIGAMqIGGMqIGHMqIGMDqIGMOqRBEqRBPqRGAqRIGqRLNrBEAMrBEGMrBEHMrBEMDrBEMOresrIGAMrIGGMrIGHMrIGMDrIGMOrRBErRBPrRGArRIGrRLNsummary.rregm
Dependencies:extraDistrgamlssgamlss.datagamlss.distinvgammalatticeMASSMatrixnlmepracmaRcppRcppArmadillosurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Tools for a reparameterized beta regression model | BEAM BEGM BEHM BEMD BEMO dBEAM dBEGM dBEHM dBEMD dBEMO dRBE fit.RBE pBEAM pBEGM pBEHM pBEMD pBEMO pRBE qBEAM qBEGM qBEHM qBEMD qBEMO qRBE rBEAM rBEGM rBEHM rBEMD rBEMO rRBE |
| Tools for a reparameterized beta prime regression model | dRBP fit.RBP pRBP qRBP rRBP |
| Tools for a reparameterized gamma regression model | dRGA fit.RGA pRGA qRGA rRGA |
| Tools for a reparameterized inverse gamma regression model | dIGAM dIGGM dIGHM dIGMD dIGMO dRIG fit.RIG IGAM IGGM IGHM IGMD IGMO pIGAM pIGGM pIGHM pIGMD pIGMO pRIG qIGAM qIGGM qIGHM qIGMD qIGMO qRIG rIGAM rIGGM rIGHM rIGMD rIGMO rRIG |
| Tools for a reparameterized log-normal regression model | dRLN fit.RLN pRLN qRLN rRLN |
| Print a summary for a object of the "rregm" class. | AIC.rregm BIC.rregm coef.rregm logLik.rregm print.rregm res summary.rregm |