R Observatory: Metrics for predictionInterval version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

predictionInterval

1.0.0Package record

Prediction Interval Functions for Assessing Replication Study Results

0packages depend

2.4Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by David StanleyCRAN page ↗

A common problem faced by journal reviewers and authors is the question of whether the results of a replication study are consistent with the original published study. One solution to this problem is to examine the effect size from the original study and generate the range of effect sizes that could reasonably be obtained (due to random sampling) in a replication attempt (i.e., calculate a prediction interval). This package has functions that calculate the prediction interval for the correlation (i.e., r), standardized mean difference (i.e., d-value), and mean.

Install

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

install.packages("predictionInterval", 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-predictioninterval

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-predictionInterval

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-predictionInterval

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

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘David Stanley <dstanley@uoguelph.ca>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "David",
                    family = "Stanley",
                    role = c("aut", "cre"),
                    email = "dstanley@uoguelph.ca")
as necessary.

CRAN check page ↗

Slowest check: 1.5 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-06-09
ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
NOTE10 OK, 2 NOTE2026-04-25
ERROR11 OK, 2 NOTE, 1 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 5 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 7includes a package overview page
Examples that run: 100%7 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 29%

How these are measured

Downloads

2.4K

CRAN downloads in the past year

Rank #21,145 · ~7/day · ~203/mo

Releases R versions

Daily download trend is not available in this view yet.

19930 days

63490 days

2.4K1 year

Compare downloads with other packages →

Also on81 r2u

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing predictionInterval adds 45 packages (23 with compiled code, 52 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, lme4 4.3 MB.

Depends (0)

none

Imports (5)

ggplot2 MBESSMASSstatspbapply

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 (from the free-text Author field) (1)

David Stanley

Maintainer since 1.0.0 (2016)

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
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
1.0.0Latest
record
2016-08-20 · current release
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-08-20
Total releases: 1 / 10 yrs
License: MIT License + file LICENSE OSI
Download size: 9.6 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("predictionInterval")

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 predictionInterval version 1.0.0 [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.

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