CRAN/E | model4you

model4you

Stratified and Personalised Models Based on Model-Based Trees and Forests

Installation

About

Model-based trees for subgroup analyses in clinical trials and model-based forests for the estimation and prediction of personalised treatment effects (personalised models). Currently partitioning of linear models, lm(), generalised linear models, glm(), and Weibull models, survreg(), is supported. Advanced plotting functionality is supported for the trees and a test for parameter heterogeneity is provided for the personalised models. For details on model-based trees for subgroup analyses see Seibold, Zeileis and Hothorn (2016) doi:10.1515/ijb-2015-0032; for details on model-based forests for estimation of individual treatment effects see Seibold, Zeileis and Hothorn (2017) doi:10.1177/0962280217693034.

Key Metrics

Version 0.9-7
R ≥ 3.1.0
Published 2021-01-20 1191 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks model4you results

Downloads

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Maintainer

Maintainer

Heidi Seibold

heidi@seibold.co

Authors

Heidi Seibold

aut / cre

Achim Zeileis

aut

Torsten Hothorn

aut

Material

NEWS
Reference manual
Package source

In Views

MachineLearning

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

model4you archive

Depends

R ≥ 3.1.0
partykit ≥ 1.2-6
grid

Imports

sandwich
stats
methods
ggplot2
Formula
gridExtra
survival

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