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Bioconductor 3.22 Released

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fmrs

This is thereleased version of fmrs; for the devel version, seefmrs.

Variable Selection in Finite Mixture of AFT Regression and FMR Models

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DOI: 10.18129/B9.bioc.fmrs


Bioconductor version: Release (3.22)

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]ORCID iD ORCID: 0000-0002-6224-2609

Maintainer: Farhad Shokoohi <shokoohi at icloud.com>

Citation (from within R, entercitation("fmrs")):

Installation

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("fmrs")
Using fmrs packageHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDimensionReduction,Regression,Software,Survival
Version1.20.0
In Bioconductor sinceBioC 3.12 (R-4.0) (5 years)
LicenseGPL-3
DependsR (>= 4.3.0)
Importsmethods,survival, stats
System Requirements
URL
Bug Reportshttps://github.com/shokoohi/fmrs/issues
See More
SuggestsBiocGenerics,testthat,knitr, utils
Linking To
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Depends On Me
Imports MeHhP
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagefmrs_1.20.0.tar.gz
Windows Binary (x86_64) fmrs_1.20.0.zip
macOS Binary (x86_64)fmrs_1.20.0.tgz
macOS Binary (arm64)fmrs_1.20.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/fmrs
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/fmrs
Bioc Package Browserhttps://code.bioconductor.org/browse/fmrs/
Package Short Urlhttps://bioconductor.org/packages/fmrs/
Package Downloads ReportDownload Stats

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