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scdtb
View on CRAN: Click
here
Download and install scdtb package within the R console
Install from CRAN:
install.packages("scdtb")
Install from Github:
library("remotes")
install_github("cran/scdtb")
Install by package version:
library("remotes")
install_version("scdtb", "0.2.0")
Attach the package and use:
library("scdtb")
Maintained by
Mackson Ncube
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-30
Latest Update: 2024-04-30
Description:
In some situations where researchers would like to demonstrate causal effects, it is hard to obtain a sample size that would allow for a well-powered randomized controlled trial. Single case designs are experimental designs that can be used to demonstrate causal effects with only one participant or with only a few participants. The 'scdtb' package provides a suite of tools for analyzing data from studies that use single case designs. The nap() function can be used to compute the nonoverlap of all pairs as outlined by the What Works Clearinghouse (2022) <https://ies.ed.gov/ncee/wwc/Handbooks>. The package also offers the mixed_model_analysis() and cross_lagged() functions which implement mixed effects models and cross lagged analyses as described in Maric & van der Werff (2020) <doi:10.4324/9780429273872-9>. The randomization_test() function implements randomization tests based on methods presented in Onghena (2020) <doi:10.4324/9780429273872-8>. The scdtb() 'shiny' application can be used to upload single case design data and access various 'scdtb' tools for plotting and analysis.
How to cite:
Mackson Ncube (2024). scdtb: Single Case Design Tools. R package version 0.2.0, https://cran.r-project.org/web/packages/scdtb. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2024-04-30 10:50)
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