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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("fmrs") Details
| Maintainer | Farhad Shokoohi <shokoohi@icloud.com> |
| Author | Farhad Shokoohi [aut, cre] (<https://orcid.org/0000-0002-6224-2609>) |
| License | GPL-3 |
| Bug Reports | https://github.com/shokoohi/fmrs/issues |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | DimensionReduction, 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 package | fmrs_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