R Observatory: Metrics for merDeriv version 0.2-6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

merDeriv

0.2-6Package record

Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models

1packages dependsuggested by 10

158.1Kdownloads / year

71.0%test coverage

13/13flavors OK

Overview

About

Maintained by Ting WangCRAN page ↗GitHub ↗

Compute case-wise and cluster-wise derivative for mixed effects models with respect to fixed effects parameter, random effect (co)variances, and residual variance. This material is partially based on work supported by the National Science Foundation under Grant Number 1460719.

Changes in 0.2-6

Bug fixes

vcov.lmerMod(full = TRUE) and estfun.lmerMod() returned the random effect (co)variance results in an order that did not match their labels when a random effect block was 3x3 or larger, so results depended on the order in which random effects were entered in the model formula (Github issue #2, reported by James Pustejovsky). The parameter index matrix is now built from Lambdat, which Lind actually indexes, instead of Lambda.
vcov.lmerMod(full = TRUE, information = "observed") failed for REML fits because the internal Hessian entries were not coerced to numeric.

Other changes

New regression tests covering Github issues #2 and #3, and updated lavaan model syntax (Github issue #4, reported by Yves Rosseel).

Show all changes in 0.2-6Hide the rest of the changes in 0.2-6

Documentation fixes, including the bread.glmerMod() man page (contributed by Ben Bolker).
Suggested packages (mirt, lmeInfo, nlme, smdata) are now used conditionally in tests, and the duplicated Suggests field in DESCRIPTION was merged.

From NEWS.md in the release

Install

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

install.packages("merDeriv", 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("nctingwang/merDeriv")

Development version from nctingwang/merDeriv. 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-merderiv

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-merDeriv

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-merDeriv

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: 6.1 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-23
ERROR12 OK, 1 ERROR2026-07-07
OK13 OK2026-05-02

Show 2 earlier changesHide 2 earlier changes

ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2-6

READMEYes · 102 wordsVignettesNoNEWSYes · 100% structured · mentions 0.2-6Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 8
Examples that run: 0%8 never run
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

158.1K

CRAN downloads in the past year

Rank #1,067 · ~433/day · ~13.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

9K30 days

35.6K90 days

158.1K1 year

Compare downloads with other packages →

Also on224 r2u3 autocran71 c2d4u

How downloads are counted

Repository

nctingwang/merderiv ↗Account: nctingwang

6Stars

1Forks

1Open issues

1Open PRs

0Releases

119Commits

6Commit identities

119 commits · Last activity 2026-07-17 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 67%
Median days to close, 50 most recently updated closed issues: 1,491
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-03-04 · 52026-07-07 · 6

How these are measured

PracticesBeta

Checks run against github.com/nctingwang/merderiv on 2026-10-11.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-07-15
Pull request it wrote: opened by a project member
Commits: 3 by its own account · at least 3 crediting it in the message

Models named in its commits

Claude Fable 53 commits · Jul 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing merDeriv adds 18 packages (12 with compiled code, 16 MB of source tarballs). Heaviest: lme4 4.1 MB, nloptr 2.1 MB, Rcpp 1.8 MB.

Depends (7)

R >= 3.2.3lme4statsmethodsnonnest2 sandwich lavaan

Imports (3)

utilsMatrixnumDeriv

LinkingTo (0)

none

Suggests (5)

smdata tinytest mirt lmeInfonlme

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

1indirect

Imports 1

Suggested by 10

Depends, Imports or LinkingTo, most downloaded first

varTestnlme

Suggests, most downloaded first

lme4 parameters see tram lmeInfo cvms spicy glmertree bregr intraclass

How these are counted

Code & Tests

People & History

People (3)

Ting Wang

Author, Maintainer since 0.1-1 (2017)

Edgar Merkle

Author

Yves Rosseel

Contributor · added in 0.1-7

Releases (15)

Pick two releases to compare their code metrics.

0.2-6Latest
record
2026-07-17 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.2-5
record
2025-06-12 · 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
0.2-4
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2022-03-12 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.2-3
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2021-01-26 · diff ↗
0.2-2
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2020-10-22 · diff ↗
0.2-1
record
2020-10-18 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1-9
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2020-03-10 · diff ↗
0.1-8
record
2020-02-12 · diff ↗
0.1-7
record
2019-07-10 · diff ↗ ·
added 3 exports
estfun.glmerMod, bread.glmerMod, llcont.glmerMod

Show 10 earlier eventsHide 10 earlier events

R
R 3.6.0 released · 2019-04-26
0.1-6
record
2018-11-30 · diff ↗ ·
added 1 export
vcov.glmerMod
0.1-5
record
2018-09-12 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.1-4
record
2018-03-29 · diff ↗
0.1-3
record
2018-02-14 · diff ↗
0.1-2
record
2017-08-01 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.1-1
record
2017-02-18
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-02-18
Total releases: 15 / 9 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.2.3
Download size: 17 KB

Appears in task views

Mixed, Multilevel, and Hierarchical Models in R

Cite

Cite this package

Run in R for the authors' entry:

citation("merDeriv")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v087.c01.

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 merDeriv version 0.2-6 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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