scdtb: Single Case Design Tools
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.
| Version: |
0.1.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
broom.mixed, DT, ggplot2, mmcards, nlme, shiny, shinythemes |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2024-04-30 |
| Author: |
Mackson Ncube [aut, cre],
mightymetrika, LLC [cph, fnd] |
| Maintainer: |
Mackson Ncube <macksonncube.stats at gmail.com> |
| BugReports: |
https://github.com/mightymetrika/scdtb/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/mightymetrika/scdtb |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
scdtb results |
Documentation:
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