R Observatory: Metrics for HTDV version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

HTDV

0.2.0

Hypothesis Testing for Dependent Variables with Unbalanced Data

0packages depend

1.3Kdownloads / year

40.0%test coverage

13/13checks pass

Overview

About

Maintained by Jose Mauricio Gomez JulianFirst published 2026-05-021 releasesCRAN page ↗GitHub ↗

Implements hierarchical Bayesian inference, robust frequentist inference, and distribution-free inference for dependent and unbalanced data under strong-mixing conditions. Supports triangular-array, weighted-sum and mixingale convergence regimes with Whittle and composite likelihoods, heteroskedasticity-and-autocorrelation-consistent variance estimation, block bootstrap with automatic block length, fixed-bandwidth HAR inference, adaptive conformal prediction, Bayesian decision under Region of Practical Equivalence, bridge-sampling Bayes factors, and predictive comparison via the Widely Applicable Information Criterion and leave-future-out cross-validation. Methods follow Andrews (1991) doi:10.2307/2938229, Kiefer and Vogelsang (2005) doi:10.1017/S0266466605050565, Patton, Politis and White (2009) doi:10.1080/07474930802459016, Vehtari, Gelman and Gabry (2017) doi:10.1007/s11222-016-9696-4, Kruschke (2018) doi:10.1177/2515245918771304, and Gibbs and Candes (2021) doi:10.48550/arXiv.2106.00170.

Install

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

install.packages("HTDV", 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("IsadoreNabi/HTDV")

Development version from IsadoreNabi/HTDV. 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-htdv

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-HTDV

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-HTDV

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

Health

CRAN checks

13OK

Slowest check: 1.6 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.11

40.0%

Coverage · measured lines

100%

Documentation · exports

3

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
OK2026-05-03
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 435 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 42%
Documented parameters: 98%
Return-value docs: 100%
References docs: 59%

Downloads

1.3K

CRAN downloads in the past year

Rank #10,220 · ~3/day · ~105/mo

Releases R versions

Daily download trend is not available in this view yet.

19430 days

94090 days

1.3K1 year

Compare downloads with other packages →

Also on25 r2u3 autocran

Repository

GitHub ↗ isadorenabi/htdv

0Stars

0Forks

0Open issues

0Open PRs

1Releases

5Commits

1Contributors

bayesian-statisticscranhypothesis-testingrr-package

5 commits · Last activity 2026-07-31

Commits over time

2026-07-19 · 32026-08-02 · 5

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/isadorenabi/htdv on 2026-08-16.

Reproducibility and dev environment (1)

data-raw/

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

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (3)

rstanstatsparallel

LinkingTo (0)

none

Suggests (8)

bayesplot bridgesampling knitr loo posterior readxl rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Jose Mauricio Gomez Julian

Author, Maintainer

Authors (1)

Jose Mauricio Gomez Julian

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

0.2.0Latest
2026-05-02 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-05-02
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 54 KB / 2 files
Download size: 124 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HTDV")

Format

Gomez Julian, J. M. (2026). HTDV: Hypothesis Testing for Dependent Variables with Unbalanced Data (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.HTDV

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 HTDV version 0.2.0 [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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