Package: FGLMtrunc 0.1.0
Chau Tran
FGLMtrunc: Truncated Functional Generalized Linear Models
An implementation of the methodologies described in Xi Liu, Afshin A. Divani, and Alexander Petersen (2022) <doi:10.1016/j.csda.2022.107421>, including truncated functional linear and truncated functional logistic regression models.
Authors:
FGLMtrunc_0.1.0.tar.gz
FGLMtrunc_0.1.0.tar.gz(r-4.5-noble)FGLMtrunc_0.1.0.tar.gz(r-4.4-noble)
FGLMtrunc_0.1.0.tgz(r-4.4-emscripten)FGLMtrunc_0.1.0.tgz(r-4.3-emscripten)
FGLMtrunc.pdf |FGLMtrunc.html✨
FGLMtrunc/json (API)
| # Install 'FGLMtrunc' in R: |
| install.packages('FGLMtrunc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- LinearExample - Simulated data for functional linear regression.
- LogisticExample - Simulated data for functional logistic regression.
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:1ec4ad1cdb. Checks:ERROR: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | FAIL | Oct 30 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 30 2024 |
Exports:fglm_trunc
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppArmadilloRcppEigenshapesplines2survival
An introduction to FGLMtrunc
Rendered fromFGLMtrunc.Rmdusingknitr::rmarkdownon Oct 30 2024.Last update: 2022-05-26
Started: 2022-05-26
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit a truncated Functional Generalized Linear Model | fglm_trunc |
| Simulated data for functional linear regression. | LinearExample |
| Simulated data for functional logistic regression. | LogisticExample |
| Plot functional parameters beta from a 'FGLMtrunc' object | plot.FGLMtrunc |
| Make predictions from 'FGLMtrunc' fitted model | predict.FGLMtrunc |
| Print a 'FGLMtrunc' object | print.FGLMtrunc |