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nparLD

2.3.3Package record

Nonparametric Analysis of Longitudinal Data in Factorial Experiments

0packages dependsuggested by 2
9Kdownloads / year
68.7%test coverage
13/13flavors OK

Overview

About

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.

Changes in 2.3.3
  • Revised print() and summary() methods for fitted nparLD objects. print() now provides a concise model overview and the ANOVA-type statistic, whereas summary() 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

CRAN checks
13OK
Slowest check: 4.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-26
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 2.3.3
READMEYes · 511 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 2.3.3Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
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

9K
CRAN downloads in the past year
Rank #3,682 · ~25/day · ~748/mo
Daily download trend is not available in this view yet.
94830 days
2.7K90 days
9K1 year
Compare downloads with other packages →
Also on99 r2u6 autocran

Repository

0Stars
0Forks
1Open issues
0Open PRs
0Releases
Last activity 2026-08-23
Responsiveness
not measured
PracticesBeta

Repository github.com/frankkonietschke/nparld is linked, but repository-practices checks have not run for it yet.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 3.5
Imports (6)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 2
Suggests, most downloaded first

Datasets

People & History

People (7)
Author, Maintainer since 1.0 (2009)
Contributor
Contributor
Original package author
Contributor
Original package author
Contributor
Original package author
Contributor · added in 2.3.3
Revised package author
Contributor
Original package author
Listed in earlier versions (1)
Gel
no longer listed · 2.3.0 to 2.3.3
Releases (11)

Pick two releases to compare their code metrics.

  • 2.3.3Latest
    record
    2026-10-14 · current release · diff ↗ ·
    added 7 exports
    ATS, MCTP, WTS, contrastMatrix, covariance, factorInfo, permTest
  • 2.3.1
    record
    2026-08-28 · diff ↗
  • 2.3.0
    record
    2026-08-22 · 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
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2022-08-07
  • 2.2
    record
    2022-08-07 · diff ↗
  • orphanedOrphaned by its maintainer
    2022-06-27
  • 2.1-1
    record
    2022-06-27 · diff ↗
  • archivedRemoved from CRAN
    2022-06-15
    check problems were not corrected despite reminders
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
Show 19 earlier eventsHide 19 earlier events
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • R
    R 3.0.0 released · 2013-04-03
  • 2.1
    record
    2012-09-19 · diff ↗
  • R
    R 2.15.0 released · 2012-03-30
  • 2.0
    record
    2012-02-27 · 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
  • R
    R 2.14.0 released · 2011-10-31
  • R
    R 2.13.0 released · 2011-04-13
  • 1.3
    record
    2011-02-14 · diff ↗
  • R
    R 2.12.0 released · 2010-10-15
  • R
    R 2.11.0 released · 2010-04-22
  • 1.2
    record
    2009-12-30 · diff ↗
  • R
    R 2.10.0 released · 2009-10-26
  • 1.1
    record
    2009-10-15 · diff ↗
  • 1.0
    record
    2009-09-18
  • R
    R 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.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for nparLD version 2.3.3 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

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.

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