Other packages > Find by keyword >

ipflasso  

Integrative Lasso with Penalty Factors
View on CRAN: Click here


Download and install ipflasso package within the R console
Install from CRAN:
install.packages("ipflasso")

Install from Github:
library("remotes")
install_github("cran/ipflasso")

Install by package version:
library("remotes")
install_version("ipflasso", "1.1")



Attach the package and use:
library("ipflasso")
Maintained by
Anne-Laure Boulesteix
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-11-24
Latest Update: 2019-12-10
Description:
The core of the package is cvr2.ipflasso(), an extension of glmnet to be used when the (large) set of available predictors is partitioned into several modalities which potentially differ with respect to their information content in terms of prediction. For example, in biomedical applications patient outcome such as survival time or response to therapy may have to be predicted based on, say, mRNA data, miRNA data, methylation data, CNV data, clinical data, etc. The clinical predictors are on average often much more important for outcome prediction than the mRNA data. The ipflasso method takes this problem into account by using different penalty parameters for predictors from different modalities. The ratio between the different penalty parameters can be chosen from a set of optional candidates by cross-validation or alternatively generated from the input data.
How to cite:
Anne-Laure Boulesteix (2015). ipflasso: Integrative Lasso with Penalty Factors. R package version 1.1, https://cran.r-project.org/web/packages/ipflasso. Accessed 23 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:50), 0.1 (2015-11-24 15:16), 0.2 (2019-05-10 13:20)
Other packages that cited ipflasso R package
View ipflasso citation profile
Other R packages that ipflasso depends, imports, suggests or enhances
Complete documentation for ipflasso
Functions, R codes and Examples using the ipflasso R package
Some associated functions: cvr.adaptive.ipflasso . cvr.glmnet . cvr.ipflasso . cvr2.ipflasso . ipflasso.predict . my.auc . 
Some associated R codes: cvr.adaptive.ipflasso.R . cvr.glmnet.R . my.auc.R .  Full ipflasso package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  
fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
Download / Learn more Package Citations See dependency  
ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA