Introduction | Functional Linear Regression (family="gaussian") | Fitting FGLMtrunc model for linear regression | Plotting with fitted FGLMtrunc model | Predicting with fitted FGLMtrunc model | Functional Logistic Regression (family="binomial") | Fitting FGLMtrunc model for logistic regression | Predicting with fitted FGLMtrunc model for logistic regression | Functional Linear Regression with scalar predictors | Fitting FGLMtrunc model | Predicting with scalar predictors
Package: FGLMtrunc 0.2.0
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_0.2.0.tar.gz
FGLMtrunc_0.2.0.tar.gz(r-4.7-arm64)FGLMtrunc_0.2.0.tar.gz(r-4.7-x86_64)FGLMtrunc_0.2.0.tar.gz(r-4.6-arm64)FGLMtrunc_0.2.0.tar.gz(r-4.6-x86_64)
FGLMtrunc_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FGLMtrunc/json (API)
| # Install 'FGLMtrunc' in R: |
| install.packages('FGLMtrunc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Uses libs:
Datasets:
- 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 from:270ba82f54. Checks:5 OK, 1 ERROR. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 137 | ||
| linux-devel-x86_64 | OK | 147 | ||
| source / vignettes | ERROR | 3177 | ||
| linux-release-arm64 | OK | 173 | ||
| linux-release-x86_64 | OK | 137 | ||
| wasm-release | OK | 126 |
Exports:fglm_trunc
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppArmadilloRcppEigenshapesplines2survival
Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.
An introduction to FGLMtrunc
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 |