Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Overview
Provides nonparametric procedures for the analysis of longitudinal data in factorial experiments. The package implements hypothesis tests on marginal distribution functions and unweighted relative marginal effects. It supports arbitrary crossed factorial designs with longitudinal or repeated-measures factors, missing observations, dependent replicates, rank- and pseudo-rank-based inference, Wald-type and ANOVA-type statistics, multiple contrast tests, and simultaneous confidence intervals.
- Revised
print()andsummary()methods for fittednparLDobjects.print()now provides a concise model overview and the ANOVA-type statistic, whereassummary()provides detailed effect estimates and inferential results. - Multiple contrast, factor-specific, permutation, and other detailed results remain available through
summary()and dedicated accessor functions. - Updated documentation and examples accordingly.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-26
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 31 (1 internal)includes a package overview page
- Examples that run
- 64%9 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 13%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 3%
Downloads
Repository
Repository github.com/frankkonietschke/nparld is linked, but repository-practices checks have not run for it yet.
Dependencies
Installing nparLD adds 22 packages (9 with compiled code, 26 MB of source tarballs). Heaviest: TH.data 8.2 MB, ggplot2 6.0 MB, isoband 1.5 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 2.3.3Latest2026-10-14 · current release · diff ↗ ·
added 7 exports
ATS, MCTP, WTS, contrastMatrix, covariance, factorInfo, permTest - 2.3.12026-08-28 · diff ↗
- 2.3.02026-08-22 · diff ↗ ·
removed 9 exports
f1.ld.f1, f1.ld.f2, f2.ld.f1, ld.ci, ld.f1, ld.f2, plot.nparLD, print.nparLD, summary.nparLD - 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
- unarchivedReturned to CRAN2022-08-07
- 2.22022-08-07 · diff ↗
- orphanedOrphaned by its maintainer2022-06-27
- 2.1-12022-06-27 · diff ↗
- archivedRemoved from CRAN2022-06-15check problems were not corrected despite reminders
- 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
Show 19 earlier eventsHide 19 earlier events
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- RR 3.0.0 released · 2013-04-03
- 2.12012-09-19 · diff ↗
- RR 2.15.0 released · 2012-03-30
- 2.02012-02-27 · diff ↗ ·
added 10 exports
f1.ld.f1, f1.ld.f2, f2.ld.f1, ld.ci, ld.f1, ld.f2, nparLD, plot.nparLD, print.nparLD, summary.nparLD - RR 2.14.0 released · 2011-10-31
- RR 2.13.0 released · 2011-04-13
- 1.32011-02-14 · diff ↗
- RR 2.12.0 released · 2010-10-15
- RR 2.11.0 released · 2010-04-22
- 1.22009-12-30 · diff ↗
- RR 2.10.0 released · 2009-10-26
- 1.12009-10-15 · diff ↗
- 1.02009-09-18
- RR 2.9.0 released · 2009-04-17
Package metadata
- First published
- 2009-09-18
- Total releases
- 11 / 17 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 6.9 KB / 11 files
- Download size
- 134 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("nparLD")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v050.i12.
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From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.