R Observatory: Metrics for rtForecastEval version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

rtForecastEval

0.1.0Package record

Evaluate the Discrepancy Between Two Real-Time Updated Probabilistic Forecasts

0packages depend

1.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Chi-Kuang YehCRAN page ↗GitHub ↗Issues ↗

Methods from Yeh, Rice, and Dubin (2022) doi:10.1080/00031305.2021.1967781 for comparing two continuously updated probabilistic forecasts under squared (Brier) loss: pointwise loss and variance, a global delta test (Monte Carlo p-values), simulation designs, and a naive pointwise band plot.

Install

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

install.packages("rtForecastEval", 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("chikuang/rtForecastEval")

Development version from chikuang/rtForecastEval. 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-rtforecasteval

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-rtForecastEval

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-rtForecastEval

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: 3.1 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK5 OK2026-04-29

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 870 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8includes a package overview page
Examples that run: 71%5 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 71%
Return-value docs: 100%
Help pages citing references: 100%

Vignettes (1)

rtForecastEval guide

How these are measured

Downloads

1.9K

CRAN downloads in the past year

Rank #17,329 · ~5/day · ~155/mo

Releases R versions

Daily download trend is not available in this view yet.

26030 days

73690 days

1.9K1 year

Compare downloads with other packages →

Also on32 r2u4 autocran

How downloads are counted

Repository

chikuang/rtforecasteval ↗Account: chikuang

1Stars

1Forks

0Open issues

0Open PRs

0Releases

41Commits

1Commit identities

forecastinggoodness-of-fit

41 commits · Last activity 2026-04-14 · The default branch showed an older version (0.0.0.9000) than CRAN on 2026-10-21

Responsiveness

not measured

Stars over time

2025-02-16 · 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/chikuang/rtforecasteval on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)

README.qmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing rtForecastEval adds 37 packages (22 with compiled code, 40 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)

none

Imports (8)

dplyr ggplot2statstidyr RSpectra rlist purrr (>= 0.3.4)MASS

LinkingTo (0)

none

Suggests (8)

pkgload knitr readr reshape2 rmarkdown gridExtra (>= 2.3.0)tibble sde

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)

Chi-Kuang Yeh

Author, Maintainer since 0.1.0 (2026)

Joel A. Dubin

Contributor, Thesis advisor

Gregory Rice

Contributor, Thesis advisor

Releases (1)

0.1.0Latest
record
first seen 2026-04-28 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First seen: 2026-04-28
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Download size: 948 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rtForecastEval")

Format

Yeh, C., Dubin, J. A., & Rice, G. (2026). rtForecastEval: Evaluate the Discrepancy Between Two Real-Time Updated Probabilistic Forecasts (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.rtForecastEval

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 rtForecastEval version 0.1.0 [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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