Package: scdhlm 0.7.4.9999

scdhlm: Estimating Hierarchical Linear Models for Single-Case Designs

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.

Authors:James Pustejovsky [aut, cre], Man Chen [aut], Bethany Hamilton [aut], Amy Cai [ctb]

scdhlm_0.7.4.9999.tar.gz
scdhlm_0.7.4.9999.zip(r-4.7)scdhlm_0.7.4.9999.zip(r-4.6)scdhlm_0.7.4.9999.zip(r-4.5)
scdhlm_0.7.4.9999.tgz(r-4.6-any)scdhlm_0.7.4.9999.tgz(r-4.5-any)
scdhlm_0.7.4.9999.tar.gz(r-4.7-any)scdhlm_0.7.4.9999.tar.gz(r-4.6-any)
scdhlm_0.7.4.9999.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
scdhlm/json (API)

# Install 'scdhlm' in R:

install.packages('scdhlm', repos = c('https://jepusto.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jepusto/scdhlm/issues

Pkgdown/docs site:https://jepusto.github.io

Datasets:

AlberMorgan - Alber-Morgan, et al.
Anglesea - Example 2 from Hedges, Pustejovsky, & Shadish
BartonArwood - Barton-Arwood, Wehby, & Falk
Bryant2018 - Bryant et al.
Carson - Carson
CaseHarrisGraham - Case, Harris, and Graham
Datchuk - Datchuk
DelemereDounavi - Delemere & Dounavi
GunningEspie - Gunning & Espie
Lambert - Example 1 from Hedges, Pustejovsky, & Shadish
Laski - Example 2 from Hedges, Pustejovsky, & Shadish
MB1results - MB1 simulation results
MB1time - MB1 simulation time
MB2results - MB2 simulation results
MB2time - MB2 simulation time
MB4results - MB4 simulation results
MB4time - MB4 simulation time
Musser - Musser
Peltier - Peltier et al.
Rodgers - Rodgers et al.
Rodriguez - Rodriguez & Anderson
Romaniuk - Romaniuk
Ruiz - Ruiz, et al.
Saddler - Example 1 from Hedges, Pustejovsky, & Shadish
Salazar - Salazar, et al.
Schutte - Example from Pustejovsky, Hedges, & Shadish
Thiemann2001 - Thiemann & Goldstein
Thiemann2004 - Thiemann & Goldstein
Thorne - Thorne

On CRAN:

6.91 score 4 stars 51 scripts 4.0k downloads 1 mentions 22 exports 26 dependencies

Last updated from:3b1270966c. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	216
source / vignettes	OK	222
linux-release-x86_64	OK	225
macos-release-arm64	OK	164
macos-oldrel-arm64	OK	179
windows-devel	OK	153
windows-release	OK	142
windows-oldrel	OK	345
wasm-release	OK	155

Exports:batch_calc_BCSMD calc_BCSMD calc_consts CI_g compare_RML_HPS default_times design_matrix effect_size_ABk effect_size_MB extract_varcomp g_mlm g_mlm_Bayes g_REML graph_SCD Info_Expected_lmeAR1 phase_pairs preprocess_SCD session_by_treatment shine_scd simulate_MB2 simulate_MB4 varcomp_vcov

Dependencies:cellranger cli cpp11 crayon dplyr generics glue hms lattice lifecycle lmeInfo magrittr nlme pillar pkgconfig prettyunits progress R6 readxl rematch rlang tibble tidyselect utf8 vctrs withr

Estimating design-comparable standardized mean differences with scdhlm

Lambert, Cartledge, Heward, & Lo (2006) | Anglesea, Hoch, & Taylor (2008) | Saddler, Behforooz, & Asaro (2008) | Laski, Charlop, & Schreibman (1988) | Schutte, Malouff, & Brown (2008) | Varying intercepts, fixed treatment effect, fixed trends | Varying intercepts, fixed treatment effect, varying trends | Varying intercepts, varying trends, varying treatment-by-time interactions | References

Rendered fromEstimating-effect-sizes.Rmdusingknitr::rmarkdown

Last update: 2022-07-26
Started: 2015-02-13

Help page	Topics
Alber-Morgan, et al. (2007)	AlberMorgan
Example 2 from Hedges, Pustejovsky, & Shadish (2012)	Anglesea
Barton-Arwood, Wehby, & Falk (2005)	BartonArwood
A convenience function for calculating multiple design-comparable effect sizes from a dataset that compiles data from multiple single-case design studies	batch_calc_BCSMD
Bryant et al. (2018)	Bryant2018
A convenience function for calculating design comparable effect sizes	calc_BCSMD
Calculate constants	calc_consts
Carson (2008)	Carson
Case, Harris, and Graham (1992)	CaseHarrisGraham
Calculates a confidence interval for a standardized mean difference effect size	CI_g
Run simulation comparing REML and HPS estimates	compare_RML_HPS
Datchuk (2016)	Datchuk
Calculate default initial treatment time and follow-up time.	default_times
Delemere & Dounavi (2018)	DelemereDounavi
Create a design matrix for a single-case design	design_matrix
Calculates HPS effect size	effect_size_ABk
Calculates HPS effect size	effect_size_MB
Calculates a between-case standardized mean difference effect size estimate	g_mlm_Bayes
Calculates adjusted REML effect size	g_REML
Graph Single Case Design Data	graph_SCD
Gunning & Espie (2003)	GunningEspie
Calculate expected information matrix	Info_Expected_lmeAR1
Example 1 from Hedges, Pustejovsky, & Shadish (2012)	Lambert
Example 2 from Hedges, Pustejovsky, & Shadish (2013)	Laski
lmeInfo	extract_varcomp g_mlm lmeInfo varcomp_vcov
MB1 simulation results	MB1results
MB1 simulation time	MB1time
MB2 simulation results	MB2results
MB2 simulation time	MB2time
MB4 simulation results	MB4results
MB4 simulation time	MB4time
Musser (2001)	Musser
Peltier et al. (2020)	Peltier
Calculate phase-pairs for a unique case	phase_pairs
Clean Single Case Design Data	preprocess_SCD
Rodgers et al. (2021)	Rodgers
Rodriguez & Anderson (2014)	Rodriguez
Romaniuk (2002)	Romaniuk
Ruiz, et al. (2020)	Ruiz
Example 1 from Hedges, Pustejovsky, & Shadish (2013)	Saddler
Salazar, et al. (2020)	Salazar
Example from Pustejovsky, Hedges, & Shadish (2014)	Schutte
Calculate session-by-treatment interactions for a unique case	session_by_treatment
A shiny interface for the scdhlm package	shine_scd
Simulate Model MB2 from Pustejovsky, Hedges, & Shadish (2014)	simulate_MB2
Simulate Model MB4 from Pustejovsky, Hedges, & Shadish (2014)	simulate_MB4
Simulate data from a fitted 'g_REML' object	simulate.g_REML
Thiemann & Goldstein (2001)	Thiemann2001
Thiemann & Goldstein (2004)	Thiemann2004
Thorne (2005)	Thorne

Package: scdhlm 0.7.4.9999

scdhlm: Estimating Hierarchical Linear Models for Single-Case Designs

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