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robslopes

1.1.4Package record

Fast Algorithms for Robust Slopes

3packages dependsuggested by 2
31.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Fast algorithms for the Theil-Sen estimator, Siegel's repeated median slope estimator, and Passing-Bablok regression. The implementation is based on algorithms by Dillencourt et. al (1992) doi:10.1142/S0218195992000020 and Matousek et. al (1998) doi:10.1007/PL00009190. The implementations are detailed in Raymaekers (2023) doi:10.32614/RJ-2023-012 and Raymaekers J., Dufey F. (2022) doi:10.48550/arXiv.2202.08060. All algorithms run in quasilinear time.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.4
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites an R Journal article
Help pages
5
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

31.7K
CRAN downloads in the past year
Rank #2,687 · ~87/day · ~2.6K/mo
Daily download trend is not available in this view yet.
2.3K30 days
5.7K90 days
31.7K1 year
Compare downloads with other packages →
Also on482 r2u5 autocran1.7K conda_forge

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing robslopes adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (0)
none
Imports (1)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
3direct
3indirect
Depends 2 · Imports 1
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (1)
Author, Maintainer since 1.0.0 (2021)
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.4Latest
    record
    2025-12-19 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.3
    record
    2023-04-27 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.2
    record
    2022-09-15 · diff ↗ ·
    added 2 exports
    robslope, robslope.fit
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.1
    record
    2022-04-11 · diff ↗
  • 1.1.0
    record
    2022-02-24 · diff ↗ ·
    added 1 export
    PassingBablok
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.2
    record
    2021-02-15 · diff ↗
  • 1.0.1
    record
    2021-02-04 · diff ↗
  • 1.0.0
    record
    2021-01-27
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-01-27
Total releases
8 / 5 yrs
License
GPL (>= 2) OSI
Download size
19 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("robslopes")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 robslopes version 1.1.4 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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