R Observatory: Metrics for trendtestR version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

trendtestR

1.0.1

Exploratory Trend Analysis and Visualization for Time-Series and Grouped Data

0packages depend

2Kdownloads / year

90.3%test coverage

13/13checks pass

Overview

About

Maintained by Gelan HuangFirst published 2025-09-021 releasesCRAN page ↗GitHub ↗

Provides a set of exploratory data analysis (EDA) tools for visualizing trends, diagnosing data types for beginner-friendly workflows, and automatically routing to suitable statistical tests or trend exploration models. Includes unified plotting functions for trend lines, grouped boxplots, and comparative scatterplots; automated statistical testing (e.g., t-test, Wilcoxon, ANOVA, Kruskal-Wallis, Tukey, Dunn) with optional effect size calculation; and model-based trend analysis using generalized additive models (GAM) for count data, generalized linear models (GLM) for continuous data, and zero-inflated models (ZIP/ZINB) for count data with potential zero-inflation. Also supports time-window continuity checks, cross-year handling in compare_monthly_cases(), and ARIMA-ready preparation with stationarity diagnostics, ensuring consistent parameter styles for reproducible research and user-friendly workflows.Methods are based on R Core Team (2024) https://www.R-project.org/, Wood, S.N.(2017, ISBN:978-1498728331), Hyndman RJ, Khandakar Y (2008) doi:10.18637/jss.v027.i03, Simon Jackman (2024) https://github.com/atahk/pscl/, Achim Zeileis, Christian Kleiber, Simon Jackman (2008) doi:10.18637/jss.v027.i08.

Install

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

install.packages("trendtestR", 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("GrahnH/trendtestR")

Development version from GrahnH/trendtestR. 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-trendtestr

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-trendtestR

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-trendtestR

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

Health

CRAN checks

13OK

Slowest check: 5.1 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 1.44

90.3%

Coverage · measured lines

100%

Documentation · exports

18

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 98%
Return-value docs: 100%
References docs: 0%

Downloads

2K

CRAN downloads in the past year

Rank #21,139 · ~5/day · ~165/mo

Releases R versions

Daily download trend is not available in this view yet.

14530 days

52090 days

2K1 year

Compare downloads with other packages →

Also on71 r2u

Repository

GitHub ↗ grahnh/trendtestr

1Stars

0Forks

0Open issues

0Open PRs

0Releases

17Commits

1Contributors

17 commits · Last activity 2025-09-18 · 0% stars, 30d

Stars over time

2026-02-23 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/grahnh/trendtestr on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (18)

dplyr ggplot2 lubridate emmeans e1071 forecastMASSmultcomp tidyselect tidyr tseries car FSA ggpubr rlangsplinespsclmgcv

LinkingTo (0)

none

Suggests (4)

testthat mockr knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Gelan Huang

Author, Maintainer

Authors (1)

Gelan Huang

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-09-02
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Download size: 132 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("trendtestR")

Format

Gelan Huang. (2025). trendtestR: Exploratory Trend Analysis and Visualization for Time-Series and Grouped Data (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.trendtestR

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 trendtestR version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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