Estimating Hierarchical Linear Models for Single-Case Designs
Overview
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.
- 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
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.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 1 NOTE2026-07-11
- OK14 OK2026-03-10
Documentation
- 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
Repository
- 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
Forks over time
Releases over time
Issues over time
PRs over time
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.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-04-30 · The repository has a site deploy workflow
pkgdown site last built 2026-04-30
Show all practicesHide 2 practices
Dependencies
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.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.7.4Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.7.32024-02-25 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.7.22023-03-12 · diff ↗
- 0.7.12023-01-10 · diff ↗
- 0.7.0
- 0.6.02022-07-08 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.5.22021-01-07 · diff ↗
- 0.5.12020-12-01 · diff ↗
- 0.5.02020-11-08 · diff ↗ ·
added 7 exports
extract_varcomp, g_mlm, graph_SCD, phase_pairs, preprocess_SCD, session_by_treatment, varcomp_vcov - RR 4.0.0 released · 2020-04-24
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")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.
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.