Recursive Partitioning of Longitudinal Data
Overview
Performs recursive partitioning of linear and nonlinear mixed effects models, specifically for longitudinal data. The package is an extension of the original 'longRPart' package by Stewart and Abdolell (2013) https://cran.r-project.org/package=longRPart.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Ross Jacobucci <rcjacobuc@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Ross",
family = "Jacobucci",
role = c("aut", "cre"),
email = "rcjacobuc@gmail.com"),
person(given = "Sam",
family = "Stewart",
role = "aut"),
person(given = "Mohamed",
family = "Abdolell",
role = "aut"),
person(given = "Sarfaraz",
family = "Serang",
role = "ctb"),
person(given = "Gabriela",
family = "Stegmann",
role = "ctb"))
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 67%
- Documented parameters
- 100%
- Return-value docs
- 0%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing longRPart2 adds 19 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.2.3Latest
- 0.0.12017-10-04
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-10-04
- Total releases
- 2 / 9 yrs
- License
- GPL
- Minimum R
- ≥ 2.10
- Bundled data
- 108 KB / 2 files
- Download size
- 115 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("longRPart2")Cite the R Observatory
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