R biospear cran
WebCRAN Package Check Results for Package biospear. Last updated on 2024-04-12 20:56:41 CEST. Flavor. Version. T install. T check. T total. Status. Flags. Webpkgconfig: Private Configuration for 'R' Packages Set configuration options on a per-package basis. Options set by a given package only apply to that package, other packages are unaffected.
R biospear cran
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WebMay 2, 2024 · View on CRAN: Installation: Install the latest version of this package by entering the following in R: install.packages("biospear") Try the biospear package in your …
WebR/alasso.R defines the following functions: alasso rdrr.io Find an R ... Search the biospear package. Functions. 46. Source code. 24. Man pages. 6. BMsel: Biomarker selection in a … WebJan 1, 2024 · The R package biospear allows selecting the biomarkers with the strongest impact on survival and on the treatment effect in high-dimensional Cox models, and estimating expected survival probabilities. Most of the implemented approaches are based on penalized regression techniques. Availability and implementation The package is …
WebMay 2, 2024 · In biospear: Biomarker Selection in Penalized Regression Models. Description Usage Arguments Details Value Author(s) References Examples. View source: R/predRes.R. Description. This function computes several criteria to assess the prediction accuracy of a prediction model. Usage Web14 rows · CRAN Package Check Results for Package biospear . Last updated on 2024-03 …
Webbiospear: Biomarker Selection in Penalized Regression Models Provides some tools for developing and validating prediction models, estimate expected survival of patients and …
WebDocumentation for package ‘biospear’ version 1.0.2. DESCRIPTION file. Help Pages. BMsel: Biomarker selection in a Cox regression model: Breast: Early breast cancer data: expSurv: … philip henshawWebJan 1, 2024 · Summary: The R package biospear allows selecting the biomarkers with the strongest impact on survival and on the treatment effect in high-dimensional Cox models, … philip henry islesWebJul 15, 2012 · First manually run: chooseCRANmirror () Pick the mirror number that is best for you and remember it. Then to automate the selection: R -e 'chooseCRANmirror (graphics=FALSE, ind=87);library (rbundler);bundle ()'. Where 87 is the number of the mirror you would like to use. This snippet also installs the rbundle for you. philip henryWebThe method parameter specifies the approaches for model selection. Most of these selection methods are based on the lasso penalty (Tibshirani, 1996). The tuning … philip henry md spokaneWebbiospear — Biomarker Selection in Penalized Regression Models - GitHub - cran/biospear: This is a read-only mirror of the CRAN R package repository. biospear — Biomarker Selection in Penalized Regression Models philip henry mcdonald and doddsWebFeb 27, 2024 · biospear: Biomarker Selection in Penalized Regression Models. Provides some tools for developing and validating prediction models, estimate expected survival of patients and visualize them graphically. philip hensler epochWebFeb 6, 2024 · Provides a variety of functions to estimate time-dependent true/false positive rates and AUC curves from a set of censored survival data. truffaut gypsophile