Package: cgaim 1.0.1
cgaim: Constrained Groupwise Additive Index Models
Fits constrained groupwise additive index models and provides functions for inference and interpretation of these models. The method is described in Masselot, Chebana, Campagna, Lavigne, Ouarda, Gosselin (2022) "Constrained groupwise additive index models" <doi:10.1093/biostatistics/kxac023>.
Authors:
cgaim_1.0.1.tar.gz
cgaim_1.0.1.zip(r-4.5)cgaim_1.0.1.zip(r-4.4)
cgaim_1.0.1.tgz(r-4.4-any)
cgaim_1.0.1.tar.gz(r-4.5-noble)cgaim_1.0.1.tar.gz(r-4.4-noble)
cgaim_1.0.1.tgz(r-4.4-emscripten)
cgaim.pdf |cgaim.html✨
cgaim/json (API)
NEWS
| # Install 'cgaim' in R: |
| install.packages('cgaim', repos = c('https://pierremasselot.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pierremasselot/cgaim/issues
Last updated 1 months agofrom:218a2eb5f6. Checks:OK: 3 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 06 2024 |
| R-4.5-win | NOTE | Sep 06 2024 |
| R-4.5-linux | NOTE | Sep 06 2024 |
| R-4.4-win | OK | Sep 06 2024 |
| R-4.4-mac | OK | Sep 06 2024 |
Exports:boot.cgaimbuild_constraintscgaimcgaim.controlgs
Dependencies:alabamaBHbootcgamclicodetoolscolorspaceconeprojcpp11doParalleldplyrfansifarverforeachgenericsggokabeitoggplot2gluegratiagtableisobanditeratorslabelinglatticelifecyclelimSolvelme4lpSolvemagrittrMASSMatrixmgcvminqamunsellmvnfastnleqslvnlmenloptrnumDerivosqppatchworkpillarpkgconfigpurrrqrngquadprogR6RColorBrewerRcppRcppArmadilloRcppEigenrlangrstudioapiscalesscamscarspacefillrstatmodstringistringrsvDialogssvGUItibbletidyrtidyselectTruncatedNormalutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Boostrap CGAIM | boot.cgaim |
| Common constraints | build_constraints |
| Constrained groupwise additive index models | cgaim |
| Parameters controlling the CGAIM fit | cgaim.control |
| Confidence intervals | confint.boot.cgaim confint.cgaim |
| Defining terms in CGAIM formula | g s |
| Plot ridge function | plot.cgaim |
| Predictions from a fitted CGAIM object | predict.cgaim |
| Print a cgaim object | print.cgaim |
| Calculate Variance-Covariance Matrix for a Fitted CGAIM Object | vcov.boot.cgaim vcov.cgaim |
