R Observatory: Metrics for imprecise101 version 0.2.2.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

imprecise101

0.2.2.4Package record

Introduction to Imprecise Probabilities

0packages depend

2.2Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Chel Hee LeeCRAN page ↗

An imprecise inference presented in the study of Walley (1996) doi:10.1111/j.2517-6161.1996.tb02065.x is one of the statistical reasoning methods when prior information is unavailable. Functions and utils needed for illustrating this inferential paradigm are implemented for classroom teaching and further comprehensive research. Two imprecise models are demonstrated using multinomial data and 2x2 contingency table data. The concepts of prior ignorance and imprecision are discussed in lower and upper probabilities. Representation invariance principle, hypothesis testing, decision-making, and further generalization are also illustrated.

Install

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

install.packages("imprecise101", repos = "https://cloud.r-project.org/")

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

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-imprecise101

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-imprecise101

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-imprecise101

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

2NOTE11OK

Check messages

NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Namespace in Imports field not imported from:
  ‘pscl’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 59 s · r-devel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-06-09
ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.2.4

READMEYes · 6 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 4
Examples that run: 100%3 run in a plain check
Exported functions with examples: 75%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 75%

Vignettes (1)

example HTML

How these are measured

Downloads

2.2K

CRAN downloads in the past year

Rank #20,758 · ~6/day · ~180/mo

Releases R versions

Daily download trend is not available in this view yet.

24330 days

63890 days

2.2K1 year

Compare downloads with other packages →

Also on67 r2u1 autocran

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing imprecise101 adds 66 packages (36 with compiled code, 66 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)

none

Imports (4)

statstolerancegraphicspscl

LinkingTo (0)

none

Suggests (3)

covr knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Chel Hee Lee

Author, Maintainer since 0.2.2.4 (2023)

Mikelis Bickis

Contributor

Angela McCourt

Contributor

Releases (1)

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
R
R 4.3.0 released · 2023-04-21
0.2.2.4Latest
record
2023-02-01 · current release
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-02-01
Total releases: 1 / 3 yrs
License: GPL-3 OSI
Download size: 40 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("imprecise101")

Format

Lee, C. H., Bickis, M., & McCourt, A. (2023). imprecise101: Introduction to Imprecise Probabilities (Version 0.2.2.4) [Computer software]. https://doi.org/10.32614/CRAN.package.imprecise101

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 imprecise101 version 0.2.2.4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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