Bioconductor Developer Survey 2026 Now Open!

fmrs

Variable Selection in Finite Mixture of AFT Regression and FMR Models

Bioconductor version: 3.23 · Package version: 1.22.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.fmrs

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("fmrs")

Details

MaintainerFarhad Shokoohi <shokoohi@icloud.com>
AuthorFarhad Shokoohi [aut, cre] (<https://orcid.org/0000-0002-6224-2609>)
LicenseGPL-3
Bug Reportshttps://github.com/shokoohi/fmrs/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDimensionReduction, Regression, Software, Survival
Package Short Url https://bioconductor.org/packages/fmrs/

Citation

From within R, enter citation("fmrs"):

Farhad Shokoohi. fmrs: Variable Selection in Finite Mixture of AFT Regression and FMR Models. doi:10.18129/B9.bioc.fmrs, R package version 1.22.0, https://bioconductor.org/packages/fmrs.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagefmrs_1.22.0.tar.gz
Windows binary (x86_64)fmrs_1.22.0.zip
macOS binary (arm64)fmrs_1.22.0.tgz
macOS binary (x86_64)fmrs_1.22.0.tgz
Dependencies

Depends: R (>= 4.3.0)

Imports: methods, survival, stats

Suggests: BiocGenerics, testthat, knitr, utils

Reverse dependencies

Imports Me (1): HhP