R Observatory: Metrics for ModalForecast version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ModalForecast

0.1.0

Parametric Modal ARIMA Models using the SKD Family

0packages depend

1.3Kdownloads / year

36.7%test coverage

13/13checks pass

Overview

About

Maintained by Christian GalarzaFirst published 2026-05-121 releasesCRAN page ↗GitHub ↗

Implements parametric modal Autoregressive Integrated Moving Average (ARIMA) models utilizing the Skewed Distribution (SKD) family. Current distributions supported are the Skew-Normal, Skewed Student-t, and Skewed Laplace. The conditional mode is parameterized and optimized via maximum likelihood using analytical gradients. Includes comprehensive residual diagnostics, robustness options (heavy tails, asymmetry), robust parametric bootstrap prediction intervals, and classical asymptotic inference via the Fisher Information matrix. Methods are described in Galarza, C.E., Lachos, V.H., Cabral, C.R.B., & Castro, L.M. (2017) doi:10.1002/sta4.140.

Install

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

install.packages("ModalForecast", 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("chedgala/ModalForecast")

Development version from chedgala/ModalForecast. 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-modalforecast

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-ModalForecast

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-ModalForecast

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.6 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.02

36.7%

Coverage · measured lines

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-05-13
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 680 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 80%
References docs: 33%

Downloads

1.3K

CRAN downloads in the past year

Rank #9,441 · ~3/day · ~105/mo

Releases R versions

Daily download trend is not available in this view yet.

19030 days

99190 days

1.3K1 year

Compare downloads with other packages →

Also on42 r2u6 autocran

Repository

GitHub ↗ chedgala/modalforecast

0Stars

0Forks

0Open issues

0Open PRs

0Releases

License GPL-3.0 · Last activity 2026-04-28

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/chedgala/modalforecast on 2026-08-23.

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (7)

statsgraphicsforecast ggplot2 gridExtra scalesgrid

LinkingTo (0)

none

Suggests (3)

rmarkdown testthat knitr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Christian Galarza

Author, Maintainer

Authors (1)

Christian Galarza

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-05-12 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-05-12
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Download size: 805 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ModalForecast")

Format

Galarza, C. (2026). ModalForecast: Parametric Modal ARIMA Models using the SKD Family (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ModalForecast

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 ModalForecast version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, 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 →