fmrs
Variable Selection in Finite Mixture of AFT Regression and FMR Models
Bioconductor version: Release (3.19)
The package obtains parameter estimation, i.e., maximum likelihood estimators (MLE), via the Expectation-Maximization (EM) algorithm for the Finite Mixture of Regression (FMR) models with Normal distribution, and MLE for the Finite Mixture of Accelerated Failure Time Regression (FMAFTR) subject to right censoring with Log-Normal and Weibull distributions via the EM algorithm and the Newton-Raphson algorithm (for Weibull distribution). More importantly, the package obtains the maximum penalized likelihood (MPLE) for both FMR and FMAFTR models (collectively called FMRs). A component-wise tuning parameter selection based on a component-wise BIC is implemented in the package. Furthermore, this package provides Ridge Regression and Elastic Net.
Author: Farhad Shokoohi [aut, cre] 
Maintainer: Farhad Shokoohi <shokoohi at icloud.com>
citation("fmrs")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("fmrs")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("fmrs")| Using fmrs package | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DimensionReduction, Regression, Software, Survival |
| Version | 1.14.0 |
| In Bioconductor since | BioC 3.12 (R-4.0) (4 years) |
| License | GPL-3 |
| Depends | R (>= 4.3.0) |
| Imports | methods, survival, stats |
| System Requirements | |
| URL | |
| Bug Reports | https://github.com/shokoohi/fmrs/issues |
See More
| Suggests | BiocGenerics, testthat, knitr, utils |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | HhP |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | fmrs_1.14.0.tar.gz |
| Windows Binary (x86_64) | fmrs_1.14.0.zip |
| macOS Binary (x86_64) | fmrs_1.14.0.tgz |
| macOS Binary (arm64) | fmrs_1.14.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/fmrs |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/fmrs |
| Bioc Package Browser | https://code.bioconductor.org/browse/fmrs/ |
| Package Short Url | https://bioconductor.org/packages/fmrs/ |
| Package Downloads Report | Download Stats |