R Observatory: Metrics for RecordTest version 2.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RecordTest

2.2.0Package record

Inference Tools in Time Series Based on Record Statistics

0packages depend

3.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jorge Castillo-MateoCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 2.2.0

NEW FEATURES

Implementation of "approximate" or "random" permutation tests with the argument permutation.test in the functions change.point, foster.test, and N.test. The tests use samples with repetition of permutations, they do not use all possible permutations. Unlike previous exact, asymptotic, or Monte Carlo tests, permutation tests still ensure test size by introducing a matrix X with dependent columns as an argument.

MODIFICATIONS

References update for the new applied publication Castillo-Mateo, Cebrian and Asin (2023) <doi:10.1016/j.atmosres.2023.106934>.
RecordTest logo update.

BUG FIXES

Function records when plot = FALSE returned the wrong backward record values. It returned the values of the forward series on the backward record times. This issue was fixed.
Function L.record returned a matrix instead of a list when all series had the same number of records. Function R.record returned incorrect output when all series had the same number of records or there were only one series. These issues were fixed and both functions return a list in any case.
Function series_untie now admits NA or NaN values without returning NaN's.

From inst/NEWS.Rd in the release

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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 10.5 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.2.0

READMEYes · 396 wordsVignettesYes · 1 · dynamicNEWSYes · mentions 2.2.0Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 34 (1 internal)includes a package overview page
Examples that run: 96%27 run in a plain check · 1 hold no code
Exported functions with examples: 97%
Documented parameters: 82%
Return-value docs: 97%
Help pages citing references: 76%

Vignettes (1)

An Introduction to the RecordTest Package

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #8,869 · ~9/day · ~275/mo

Releases R versions

Daily download trend is not available in this view yet.

28130 days

1.1K90 days

3.3K1 year

Compare downloads with other packages →

Also on89 r2u6 autocran88 c2d4u

How downloads are counted

Repository

jorgecastillomateo/recordtest ↗Account: JorgeCastilloMateo

1Stars

0Forks

0Open issues

0Open PRs

0Releases

37Commits

1Commit identities

hypothesis-testingr-packagerecord-breaking

37 commits · Last activity 2023-08-06

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against github.com/jorgecastillomateo/recordtest on 2026-10-22.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing RecordTest adds 17 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

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.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Jorge Castillo-Mateo

Jesús Asín

Thesis advisor

Ana C. Cebrián

Thesis advisor

Releases (8)

Pick two releases to compare their code metrics.

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
record
2023-08-07 · current release · diff ↗ ·
added 3 exports
I.record.default, I.record.matrix, I.record.numeric
R
R 4.3.0 released · 2023-04-21
2.1.2
record
2023-03-16 · diff ↗
2.1.1
record
2022-11-07 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.1.0
record
2021-08-08 · diff ↗ ·
added 1 export
change.point
R
R 4.1.0 released · 2021-05-18
2.0.0
record
2021-02-13 · diff ↗ ·
removed 11 exports
L_global.test, L_lm.test, L_lr.test, M.record, N_exactPB.test, N_normal.test, P.record, P_chisq.test, P_exactPB.test, P_regression.plot, P_regression.test

added 19 exports
N.test, R.record, S.record, brown.method, dpoisbinom, fisher.method, global.test, lr.test, p.chisq.test, p.plot, p.record, p.regression.test, ppoisbinom, qpoisbinom, rcrm, rpoisbinom, score.test, series_record, series_ties
1.0.1
record
2020-10-05 · diff ↗ ·
removed 19 exports
DaySeries.fun, I.rec, I.rec.matrix, L.rec, L.rec.matrix, L_MC.test, M.rec, N.rec, N.rec.matrix, N_joint.plot, N_joint.test, Nmean.rec, P.rec, dailymean.fun, dailysd.fun, double.fun, mintime.cor.test, std.fun, value.rec

added 16 exports
I.record, L.record, L_global.test, L_lm.test, M.record, N.record, Nmean.record, P.record, foster.plot, foster.test, records, series_double, series_rev, series_split, series_uncor, series_untie
R
R 4.0.0 released · 2020-04-24
unarchivedReturned to CRAN
2020-02-09
0.1.2
record
2020-02-09 · diff ↗
archivedRemoved from CRAN
2020-01-26
requires archived package 'Smisc'

Show 2 earlier eventsHide 2 earlier events

0.1.0
record
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

Appears in task views

Extreme Value Analysis

Cite

Cite this package

Run in R for the authors' entry:

citation("RecordTest")

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

It points to 10.18637/jss.v106.i05.

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 v2026-10-25. 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.

Report a problem with this page →