Other packages > Find by keyword >

LongituRF  

Random Forests for Longitudinal Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LongituRF", "0.9")



Attach the package and use:
library("LongituRF")
Maintained by
Louis Capitaine
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-31
Latest Update: 2020-08-31
Description:
Random forests are a statistical learning method widely used in many areas of scientific research essentially for its ability to learn complex relationships between input and output variables and also its capacity to handle high-dimensional data. However, current random forests approaches are not flexible enough to handle longitudinal data. In this package, we propose a general approach of random forests for high-dimensional longitudinal data. It includes a flexible stochastic model which allows the covariance structure to vary over time. Furthermore, we introduce a new method which takes intra-individual covariance into consideration to build random forests. The method is fully detailled in Capitaine et.al. (2020) Random forests for high-dimensional longitudinal data.
How to cite:
Louis Capitaine (2020). LongituRF: Random Forests for Longitudinal Data. R package version 0.9, https://cran.r-project.org/web/packages/LongituRF. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.9 (2020-08-31 11:10)
Other packages that cited LongituRF R package
View LongituRF citation profile
Other R packages that LongituRF depends, imports, suggests or enhances
Complete documentation for LongituRF
Functions, R codes and Examples using the LongituRF R package
Some associated functions: DataLongGenerator . MERF . MERT . Moy . Moy_exp . Moy_fbm . Moy_sto . REEMforest . REEMtree . bay.exp . bay.fbm . bay . bay_sto . cov.exp . cov.fbm . gam_exp . gam_fbm . gam_sto . logV.exp . logV.fbm . logV . opti.FBM . opti.FBMreem . opti.exp . predict.exp . predict.fbm . predict.longituRF . predict.sto . sig.exp . sig.fbm . sig . sig_sto . sto_analysis . 
Some associated R codes: LongituRF.R .  Full LongituRF package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
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  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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