Package: fmrs
Type: Package
Title: Variable Selection in Finite Mixture of AFT Regression and FMR
        Models
Version: 1.6.0
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 (>= 4.1.0)
Imports: methods, survival, stats
Date: 2022-03-28
biocViews: Survival, Regression, DimensionReduction
Suggests: BiocGenerics, testthat, knitr, utils
License: GPL-3
VignetteBuilder: knitr
BugReports: https://github.com/shokoohi/fmrs/issues
Packaged: 2022-04-26 22:51:10 UTC; biocbuild
RoxygenNote: 7.1.2.9000
Encoding: UTF-8
NeedsCompilation: yes
git_url: https://git.bioconductor.org/packages/fmrs
git_branch: RELEASE_3_15
git_last_commit: ffc98cb
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
Author: Farhad Shokoohi [aut, cre] (<https://orcid.org/0000-0002-6224-2609>)
Maintainer: Farhad Shokoohi <shokoohi@icloud.com>
Built: R 4.2.0; x86_64-w64-mingw32; 2022-04-27 09:30:31 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
