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npregfast

1.6.0Package record

Nonparametric Estimation of Regression Models with Factor-by-Curve Interactions

2packages depend
4.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

A method for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines. Additionally, a parametric model (allometric model) can be estimated.

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.6.0
READMEYes · 16 wordsVignettesNoNEWSYes · 67% structuredCitation fileYes · cites a publication
Cites a JSS article
Help pages
15 (1 internal)
Examples that run
100%13 run in a plain check (1 of them under a condition)
Exported functions with examples
88%
Documented parameters
100%
Return-value docs
75%
Help pages citing references
60%

Downloads

4.3K
CRAN downloads in the past year
Rank #9,943 · ~12/day · ~354/mo
Daily download trend is not available in this view yet.
33430 days
1K90 days
4.3K1 year
Compare downloads with other packages →
Also on399 r2u7 autocran2.6K conda_forge

Repository

5Stars
2Forks
0Open issues
0Open PRs
8Releases
271Commits
4Commit identities
regression-modelsrfortrancurve-interactionsnonparametricallometricbarnacletesting
271 commits · Last activity 2025-10-10 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-07-19 · 52026-07-07 · 5
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/sestelo/npregfast on 2026-10-21.

Continuous integration (1)
Travis CI (config file)
Docs source (2)
pkgdown

GitHub Pages site last deployed 2025-10-10

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing npregfast adds 47 packages (23 with compiled code, 39 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, promises 3.1 MB.

Depends (1)
R >= 3.2.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (3)
Author, Maintainer since 1.0 (2015)
Releases (10)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.6.0Latest
    record
    2025-10-10 · current release · diff ↗
  • 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
  • 1.5.2
    record
    2022-09-02 · diff ↗
  • 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
  • R
    R 3.5.0 released · 2018-04-23
  • 1.5.1
    record
    2017-11-30 · diff ↗
  • 1.5.0
    record
    2017-10-30 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 1.4.0
    record
    2016-11-18 · diff ↗ ·
    removed 1 export
    plotdiff
    added 1 export
    autoplot
  • R
    R 3.3.0 released · 2016-05-03
Show 6 earlier eventsHide 6 earlier events

Package metadata

First published
2015-11-09
Total releases
10 / 11 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.2.0
Bundled data
19 KB / 2 files
Download size
117 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("npregfast")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v082.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 npregfast version 1.6.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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