Package: iterativeBMAsurv 1.65.0

Ka Yee Yeung

iterativeBMAsurv: The Iterative Bayesian Model Averaging (BMA) Algorithm For Survival Analysis

The iterative Bayesian Model Averaging (BMA) algorithm for survival analysis is a variable selection method for applying survival analysis to microarray data.

Authors:Amalia Annest, University of Washington, Tacoma, WA Ka Yee Yeung, University of Washington, Seattle, WA

iterativeBMAsurv_1.65.0.tar.gz
iterativeBMAsurv_1.65.0.zip(r-4.5)iterativeBMAsurv_1.65.0.zip(r-4.4)iterativeBMAsurv_1.65.0.zip(r-4.3)
iterativeBMAsurv_1.65.0.tgz(r-4.5-any)iterativeBMAsurv_1.65.0.tgz(r-4.4-any)iterativeBMAsurv_1.65.0.tgz(r-4.3-any)
iterativeBMAsurv_1.65.0.tar.gz(r-4.5-noble)iterativeBMAsurv_1.65.0.tar.gz(r-4.4-noble)
iterativeBMAsurv_1.65.0.tgz(r-4.4-emscripten)iterativeBMAsurv_1.65.0.tgz(r-4.3-emscripten)
iterativeBMAsurv.pdf |iterativeBMAsurv.html✨
iterativeBMAsurv/json (API)

# Install 'iterativeBMAsurv' in R:
install.packages('iterativeBMAsurv', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • testCens - Sample Test Data for the Iterative BMA Algorithm for Survival Analysis
  • testData - Sample Test Data for the Iterative BMA Algorithm for Survival Analysis
  • testSurv - Sample Test Data for the Iterative BMA Algorithm for Survival Analysis
  • trainCens - Sample Training Data for the Iterative BMA Algorithm for Survival Analysis
  • trainData - Sample Training Data for the Iterative BMA Algorithm for Survival Analysis
  • trainSurv - Sample Training Data for the Iterative BMA Algorithm for Survival Analysis

On BioConductor:iterativeBMAsurv-1.65.0(bioc 3.21)iterativeBMAsurv-1.64.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

microarray

3.30 score 8 scripts 254 downloads 1 mentions 17 exports 11 dependencies

Last updated 4 months agofrom:18ae47d2c8. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 27 2025
R-4.5-winWARNINGFeb 27 2025
R-4.5-macWARNINGFeb 27 2025
R-4.5-linuxWARNINGFeb 27 2025
R-4.4-winWARNINGFeb 27 2025
R-4.4-macWARNINGFeb 27 2025
R-4.3-winWARNINGFeb 27 2025
R-4.3-macWARNINGFeb 27 2025

Exports:assignRiskGroupcrossValcrossVal.final.calccrossVal.foldcrossVal.initcrossVal.runcrossVal.tabulateimageplot.bma.modimageplot.iterate.bma.surviterateBMAinititerateBMAsurv.trainiterateBMAsurv.train.predict.assessiterateBMAsurv.train.wrapperpredictBicSurvpredictiveAssessCategoryprintTopGenessingleGeneCoxph

Dependencies:BMADEoptimRinlinelatticeleapsMatrixmvtnormpcaPProbustbaserrcovsurvival

The Iterative Bayesian Model Averaging Algorithm For Survival Analysis

Rendered fromiterativeBMAsurv.Rnwusingutils::Sweaveon Feb 27 2025.

Last update: 2013-11-01
Started: 2013-11-01