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scdhlm

0.7.4Package record

Estimating Hierarchical Linear Models for Single-Case Designs

0packages dependsuggested by 1
25.9Kdownloads / year
65.6%test coverage
11/13flavors OK

Overview

About

Provides a set of tools for estimating hierarchical linear models and effect sizes based on data from single-case designs. Functions are provided for calculating standardized mean difference effect sizes that are directly comparable to standardized mean differences estimated from between-subjects randomized experiments, as described in Hedges, Pustejovsky, and Shadish (2012) DOI:10.1002/jrsm.1052; Hedges, Pustejovsky, and Shadish (2013) DOI:10.1002/jrsm.1086; Pustejovsky, Hedges, and Shadish (2014) DOI:10.3102/1076998614547577; and Chen, Pustejovsky, Klingbeil, and Van Norman (2023) DOI:10.1016/j.jsp.2023.02.002. Includes an interactive web interface.

Changes in 0.7.4
  • Updated DESCRIPTION to list all packages used in /demo scripts. The snow, doSNOW, foreach, iterators, reshape, and rlecuyer packages are included in SUGGESTS only because of legacy code used in the original simulation studies that motivated the scdhlm package.

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage:
  ‘CI_g.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 3.4 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 1 NOTE2026-07-11
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.7.4
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.7.4Citation fileNoWebsiteYes · pkgdown
Help pages
48
Examples that run
94%16 run in a plain check (1 of them under a condition) · 1 never run
Exported functions with examples
89%
Documented parameters
98%
Return-value docs
78%
Help pages citing references
29%

Also includes 4 demo scripts (run with demo())

Downloads

25.9K
CRAN downloads in the past year
Rank #2,838 · ~71/day · ~2.2K/mo
Daily download trend is not available in this view yet.
1.9K30 days
5.2K90 days
25.9K1 year
Compare downloads with other packages →
Also on95 r2u4 autocran

Repository

4Stars
2Forks
4Open issues
0Open PRs
9Releases
717Commits
13Commit identities
717 commits · Last activity 2026-05-01 · Default branch at 0.7.4.9999, ahead of CRAN 0.7.4 (checked 2026-10-22)
Responsiveness
How these are sampled
PRs merged (all time)
92%
Median days to close, 50 most recently updated closed issues
15
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2024-04-09 · 42026-07-07 · 4
PracticesBeta

11 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/jepusto/scdhlm on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-04-30 · The repository has a site deploy workflow

pkgdown site last built 2026-04-30

Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
Dockerfile
Show all practicesHide 2 practices
CRAN release process (2)
cran-comments.mdrevdep/
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
24 external dependencies (excludes base and recommended)

Installing scdhlm adds 24 packages (10 with compiled code, 7.9 MB of source tarballs). Heaviest: readxl 2.1 MB, vctrs 1.0 MB, dplyr 902 KB.

Depends (2)
R >= 3.0.1nlme
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (3)
Author, Maintainer since 0.3 (2016)
Author · added in 0.5.0
Author · added in 0.3.2
Releases (12)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.7.4Latest
    record
    2026-01-21 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.7.3
    record
    2024-02-25 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.7.2
    record
    2023-03-12 · diff ↗
  • 0.7.1
    record
    2023-01-10 · diff ↗
  • 0.7.0
    record
    2022-11-07 · diff ↗ ·
    added 3 exports
    batch_calc_BCSMD, calc_BCSMD, default_times
  • 0.6.0
    record
    2022-07-08 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.5.2
    record
    2021-01-07 · diff ↗
  • 0.5.1
    record
    2020-12-01 · diff ↗
  • 0.5.0
    record
    2020-11-08 · diff ↗ ·
    added 7 exports
    extract_varcomp, g_mlm, graph_SCD, phase_pairs, preprocess_SCD, session_by_treatment, varcomp_vcov
  • R
    R 4.0.0 released · 2020-04-24
Show 7 earlier eventsHide 7 earlier events
  • 0.3.2
    record
    2020-04-09 · diff ↗
  • 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
  • 0.3.1
    record
    2016-12-20 · diff ↗
  • 0.3
    record
    2016-09-27
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-09-27
Total releases
12 / 10 yrs
License
GPL-3 OSI
Minimum R
≥ 3.0.1
Bundled data
476 KB / 26 files
Download size
613 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scdhlm")
Pustejovsky, J., Chen, M., & Hamilton, B. (2026). scdhlm: Estimating Hierarchical Linear Models for Single-Case Designs (Version 0.7.4) [Computer software]. https://doi.org/10.32614/CRAN.package.scdhlm

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for scdhlm version 0.7.4 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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