Package: fmrs
Type: Package
Title: Variable Selection in Finite Mixture of AFT Regression and FMR
        Models
Version: 1.23.0
Authors@R: c(person("Farhad", "Shokoohi", role = c("aut", "cre"),
    email = "shokoohi@icloud.com", comment = c(ORCID = "0000-0002-6224-2609"))
    )
Description: 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.
Depends: R (>= 4.3.0)
Imports: methods, survival, stats
Date: 2023-05-16
biocViews: Survival, Regression, DimensionReduction
Suggests: BiocGenerics, testthat, knitr, utils
License: GPL-3
VignetteBuilder: knitr
BugReports: https://github.com/shokoohi/fmrs/issues
RoxygenNote: 7.2.3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-06-23 19:24:57 UTC; root
Author: Farhad Shokoohi [aut, cre]
        (<https://orcid.org/0000-0002-6224-2609>)
Maintainer: Farhad Shokoohi <shokoohi@icloud.com>
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:53:04 UTC
RemoteUrl: https://github.com/bioc/fmrs
RemoteRef: HEAD
RemoteSha: da2a7c47967486d44f8dbf997898a16d52767f97