R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
blockForest
Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data
View on CRAN: Click
here
Download and install blockForest package within the R console
Install from CRAN:
install.packages("blockForest")
Install from Github:
library("remotes")
install_github("cran/blockForest") Install by package version:
library("remotes")
install_version("blockForest", "0.2.7") Attach the package and use:
library("blockForest")
Maintained by
Marvin N. Wright
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-30
Latest Update: 2023-03-31
Description:
A random forest variant 'block forest' ('BlockForest') tailored to the
prediction of binary, survival and continuous outcomes using block-structured
covariate data, for example, clinical covariates plus measurements of a certain
omics data type or multi-omics data, that is, data for which measurements of
different types of omics data and/or clinical data for each patient exist. Examples
of different omics data types include gene expression measurements, mutation data
and copy number variation measurements.
Block forest are presented in Hornung & Wright (2019). The package includes four
other random forest variants for multi-omics data: 'RandomBlock', 'BlockVarSel',
'VarProb', and 'SplitWeights'. These were also considered in Hornung & Wright (2019),
but performed worse than block forest in their comparison study based on 20 real
multi-omics data sets. Therefore, we recommend to use block forest ('BlockForest')
in applications. The other random forest variants can, however, be consulted for
academic purposes, for example, in the context of further methodological
developments.
Reference: Hornung, R. & Wright, M. N. (2019) Block Forests: random forests for blocks of clinical and omics covariate data. BMC Bioinformatics 20:358. .
How to cite:
Marvin N. Wright (2018). blockForest: Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data. R package version 0.2.7, https://cran.r-project.org/web/packages/blockForest. Accessed 28 Oct. 2026.
Previous versions and publish date:
Other packages that cited blockForest R package
View blockForest citation profile
Other R packages that blockForest depends,
imports, suggests or enhances
Complete documentation for blockForest
Functions, R codes and Examples using
the blockForest R package
Some associated functions: blockForest . blockfor . predict.blockForest . predictions.blockForest . predictions.blockForest.prediction . timepoints.blockForest . timepoints.blockForest.prediction . treeInfo .
Some associated R codes: CvalueOptimizer.R . CvalueOptimizerClassification.R . CvalueOptimizerRegression.R . CvalueOptimizerSurvival.R . Data.R . RcppExports.R . blockForest.R . blockfor.R . formula.R . getTerminalNodeIDs.R . importance.R . infinitesimalJackknife.R . oob_error.R . predict.R . predictions.R . print.R . timepoints.R . treeInfo.R . utility.R . Full blockForest package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
ncdf4
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Pierce (view profile)
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
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
msamp
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination
in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Martine Ferguson (view profile)
cats
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms,
control and experimenta ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Elias Laurin Meyer (view profile)
NPHazardRate
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Dimitrios Bagkavos (view profile)
29,218
R Packages
247,686
Dependencies
77,281
Author Associations
29,219
Publication Badges
