R Observatory: Metrics for curtailment version 0.2.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

curtailment

0.2.6Package record

Finds Binary Outcome Designs Using Stochastic Curtailment

0packages depend

3.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Martin LawCRAN page ↗GitHub ↗Issues ↗

Finds single- and two-arm designs using stochastic curtailment, as described by Law et al. (2022) doi:10.1080/10543406.2021.2009498 and Law et al. (2021) doi:10.1002/pst.2067 respectively. Designs can be single-stage or multi-stage. Non-stochastic curtailment is possible as a special case. Desired error-rates, maximum sample size and lower and upper anticipated response rates are inputted and suitable designs are returned with operating characteristics. Stopping boundaries and visualisations are also available. The package can find designs using other approaches, for example designs by Simon (1989) doi:10.1016/0197-2456(89)90015-9 and Mander and Thompson (2010) doi:10.1016/j.cct.2010.07.008. Other features: compare and visualise designs using a weighted sum of expected sample sizes under the null and alternative hypotheses and maximum sample size; visualise any binary outcome design.

Changes in 0.2.6

Changed output of find2stageDesigns

From NEWS.md in the release

Install

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

install.packages("curtailment", 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("martinlaw/curtailment")

Development version from martinlaw/curtailment. 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-curtailment

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-curtailment

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-curtailment

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: 2.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.6

READMEYes · 301 wordsVignettesNoNEWSYes · 100% structured · mentions 0.2.6Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 11
Examples that run: 73%8 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 95%
Return-value docs: 100%
Help pages citing references: 18%

How these are measured

Downloads

3.1K

CRAN downloads in the past year

Rank #16,315 · ~9/day · ~261/mo

Releases R versions

Daily download trend is not available in this view yet.

29730 days

76690 days

3.1K1 year

Compare downloads with other packages →

Also on74 r2u11 autocran

How downloads are counted

Repository

martinlaw/curtailment ↗Account: martinlaw

0Stars

1Forks

1Open issues

0Open PRs

12Releases

118Commits

1Commit identities

118 commits · Last activity 2025-11-14 · Default branch at 1.0.0, ahead of CRAN 0.2.6 (checked 2026-10-18)

Responsiveness

not measured

Forks over time

2022-02-25 · 12026-07-07 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/martinlaw/curtailment on 2026-10-18.

Docs source (1)

README.Rmd

CRAN release process (2)

cran-comments.mdrevdep/

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing curtailment adds 28 packages (12 with compiled code, 24 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, ggthemes 2.1 MB.

Depends (0)

none

Imports (6)

ggplot2 gridExtra ggthemes data.table pkgcondstats

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Martin Law

Author, Maintainer since 0.1.1 (2021)

Releases (3)

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
0.2.6Latest
record
2023-10-25 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
0.2.0
record
2022-08-05 · diff ↗ ·
added 1 export
find2stageThetaF
R
R 4.2.0 released · 2022-04-22
0.1.1
record
2021-08-05
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-08-05
Total releases: 3 / 5 yrs
License: GPL (>= 3) OSI
Download size: 97 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("curtailment")

Format

Law, M. (2023). curtailment: Finds Binary Outcome Designs Using Stochastic Curtailment (Version 0.2.6) [Computer software]. https://doi.org/10.32614/CRAN.package.curtailment

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 curtailment version 0.2.6 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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