HLMdiag

0.5.1

Diagnostic Tools for Hierarchical (Multilevel) Linear Models

3packages depend

21Kdownloads / year

54.1%test coverage

13/13checks pass

Overview

About

Maintained by Adam LoyFirst published 2011-03-2218 releasesCRAN page ↗GitHub ↗

A suite of diagnostic tools for hierarchical (multilevel) linear models. The tools include not only leverage and traditional deletion diagnostics (Cook's distance, covratio, covtrace, and MDFFITS) but also convenience functions and graphics for residual analysis. Models can be fit using either lmer in the 'lme4' package or lme in the 'nlme' package.

Install

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

install.packages("HLMdiag", 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("aloy/HLMdiag")

Development version from aloy/HLMdiag. 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-hlmdiag

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-HLMdiag

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-HLMdiag

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

Health

CRAN checks

13OK

Slowest check: 7.9 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.24

54.1%

Coverage · measured lines

100%

Documentation · exports

Dependencies · direct

Check history

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
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
WARNING2026-04-22
11 OK · 0 NOTE · 3 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
10 OK · 0 NOTE · 3 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

WARNING2026-03-10
11 OK · 0 NOTE · 3 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 764 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 91%
Documented parameters: 100%
Return-value docs: 50%
References docs: 62%

Downloads

21K

CRAN downloads in the past year

Rank #3,330 · ~58/day · ~1.8K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.1K30 days

3.6K90 days

21K1 year

Compare downloads with other packages →

Also on562 r2u35 autocran77 c2d4u

Repository

GitHub ↗ aloy/hlmdiag

19Stars

6Forks

3Open issues

0Open PRs

4Releases

427Commits

4Contributors

427 commits · Last activity 2026-07-01

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/aloy/hlmdiag on 2026-07-19.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdrevdep/

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

25 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (19)

ggplot2statsmethodsplyr reshape2MASSMatrixmgcvdplyr magrittr stringr purrr tibble tidyselect janitor Rcpp rlang ggrepel diagonals

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (10)

mlmRev WWGbook lme4nlmetestthat knitr rmarkdown car gridExtra qqplotr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

3indirect

emdi lmeresampler saeTrafo

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Adam Loy

Maintainer, Author

Authors (3)

Adam Loy

Maintainer, Author

Jaylin Lowe

Author · added in 0.4.0

Jack Moran

Author · added in 0.4.0

Package Timeline

18 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.5.1Latest
2025-05-13 · current release · diff ↗
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
0.5.0
2021-05-02 · diff ↗
0.4.0
2020-12-14 · diff ↗
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
R
R 3.3.0 released · 2016-05-03
0.3.1
2015-12-12 · diff ↗
0.3.0
2015-06-23 · diff ↗

Show 20 earlier events

R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
0.2.5
2014-01-31 · diff ↗
0.2.4
2014-01-16 · diff ↗
0.2.3
2013-10-17 · diff ↗
0.2.2
2013-05-01 · diff ↗
R
R 3.0.0 released · 2013-04-03
0.2.1
2013-03-26 · diff ↗
0.2.0
2013-02-18 · diff ↗
0.1.6
2012-09-01 · diff ↗
R
R 2.15.0 released · 2012-03-30
0.1.5
2012-03-06 · diff ↗
0.1.4
2012-01-28 · diff ↗
0.1.3
2012-01-03 · diff ↗
0.1.2
2011-12-19 · diff ↗
0.1.1
2011-11-04 · diff ↗
R
R 2.14.0 released · 2011-10-31
R
R 2.13.0 released · 2011-04-13
0.1.0
2011-03-22
R
R 2.12.0 released · 2010-10-15

Package metadata

First published: 2011-03-22
Total releases: 18 / 15 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.5.0
Bundled data: 107 KB / 4 files
Download size: 399 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Mixed, Multilevel, and Hierarchical Models in R

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