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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>

Citation (from within R, enter citation("fmrs")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

Using fmrs package HTML R Script
Reference Manual PDF


biocViews DimensionReduction, Regression, Software, Survival
Version 1.14.0
In Bioconductor since BioC 3.12 (R-4.0) (3.5 years)
License GPL-3
Depends R (>= 4.3.0)
Imports methods, survival, stats
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Suggests BiocGenerics, testthat, knitr, utils
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Source Package fmrs_1.14.0.tar.gz
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