Package: gamlss.foreach 1.1-6
Mikis Stasinopoulos
gamlss.foreach: Parallel Computations for Distributional Regression
Computational intensive calculations for Generalized Additive Models for Location Scale and Shape, <doi:10.1111/j.1467-9876.2005.00510.x>.
Authors:
gamlss.foreach_1.1-6.tar.gz
gamlss.foreach_1.1-6.tar.gz(r-4.5-noble)gamlss.foreach_1.1-6.tar.gz(r-4.4-noble)
gamlss.foreach_1.1-6.tgz(r-4.4-emscripten)gamlss.foreach_1.1-6.tgz(r-4.3-emscripten)
gamlss.foreach.pdf |gamlss.foreach.html✨
gamlss.foreach/json (API)
| # Install 'gamlss.foreach' in R: |
| install.packages('gamlss.foreach', 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 2 years agofrom:f301e551ad. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-linux | NOTE | Nov 21 2024 |
Exports:BayesianBootcentiles.bootfitPCRfitRollinggamlss.pcgamlss.pcrgetSVDNonParametricBootpcpcrwhich.Data.Corrwhich.yX.Corr
Dependencies:codetoolsdoParallelforeachgamlssgamlss.datagamlss.distglmnetiteratorslatticeMASSMatrixnlmeRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Computational Intensive Functions within GAMLSS | gamlss.foreach-package gamlss.foreach |
| Non parametric and Bayesian Bootstrapping for GAMLSS models | BayesianBoot NonParametricBoot |
| Bootstrapping centiles curves estimated using GAMLSS | centiles.boot plot.centiles.boot print.centiles.boot summary.centiles.boot |
| Function to fit simple Principal Component Regression. | fitPCR |
| Function to Fit Rolling Regression in gamlss | fitRolling |
| Methods for PCR objects | coef.PCR fitted.PCR plot.PCR predict.PCR summary.PCR vcov.PCR |
| Functions to Fit Principal Component Regression in GAMLSS | gamlss.pc gamlss.pcr getSVD pc pcr |
| Detecting Hight Pair-Wise Correlations in Data | which.Data.Corr which.yX.Corr |