R Observatory: Metrics for RecordTest version 2.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RecordTest

2.2.0

Inference Tools in Time Series Based on Record Statistics

0packages depend

3.3Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Jorge Castillo-MateoFirst published 2019-10-218 releasesCRAN page ↗GitHub ↗

Statistical tools based on the probabilistic properties of the record occurrence in a sequence of independent and identically distributed continuous random variables. In particular, tools to prepare a time series as well as distribution-free trend and change-point tests and graphical tools to study the record occurrence. Details about the implemented tools can be found in Castillo-Mateo et al. (2023a) doi:10.18637/jss.v106.i05 and Castillo-Mateo et al. (2023b) doi:10.1016/j.atmosres.2023.106934.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("RecordTest", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("JorgeCastilloMateo/RecordTest")

Development version from JorgeCastilloMateo/RecordTest. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-recordtest

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-RecordTest

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-RecordTest

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 14.9 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 396 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 82%
Return-value docs: 97%
References docs: 76%

Downloads

3.3K

CRAN downloads in the past year

Rank #9,967 · ~9/day · ~272/mo

Releases R versions

Daily download trend is not available in this view yet.

42730 days

94990 days

3.3K1 year

Compare downloads with other packages →

Also on134 r2u26 autocran37 c2d4u

Repository

GitHub ↗ jorgecastillomateo/recordtest

1Stars

0Forks

0Open issues

0Open PRs

0Releases

37Commits

1Contributors

hypothesis-testingr-packagerecord-breaking

37 commits · Last activity 2024-02-26

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/jorgecastillomateo/recordtest on 2026-08-16.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (2)

ggplot2stats

LinkingTo (0)

none

Suggests (3)

ggpubr knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Jorge Castillo-Mateo

Author, Maintainer, Copyright holder

Authors (1)

Jorge Castillo-Mateo

Author, Maintainer, Copyright holder

Copyright holders (1)

Jorge Castillo-Mateo

Author, Maintainer, Copyright holder

Other (2)

Jesús Asín

Thesis advisor

Ana C. Cebrián

Thesis advisor

Package Timeline

8 releases. Pick two to compare their code metrics. R releases are shown for context.

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
2.2.0Latest
2023-08-07 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
2.1.2
2023-03-16 · diff ↗
2.1.1
2022-11-07 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.1.0
2021-08-08 · diff ↗
R
R 4.1.0 released · 2021-05-18
2.0.0
2021-02-13 · diff ↗
1.0.1
2020-10-05 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1.2
2020-02-09 · diff ↗
unarchivedReturned to CRAN
2020-02-09
archivedRemoved from CRAN
2020-01-26
requires archived package 'Smisc'

Show 2 earlier events

0.1.0
2019-10-21
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-10-21
Total releases: 8 / 7 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 101 KB / 4 files
Download size: 1.8 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Extreme Value Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RecordTest")

Format

Castillo-Mateo, J., Asín, J., & Cebrián, A. C. (2023). RecordTest: Inference Tools in Time Series Based on Record Statistics (Version 2.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.RecordTest

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RecordTest version 2.2.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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