Package: SCRT 1.3.1
Tamal Kumar De
SCRT: Single-Case Randomization Tests
Design single-case phase, alternation and multiple-baseline experiments, and conduct randomization tests on data gathered by means of such designs, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.
Authors:
SCRT_1.3.1.tar.gz
SCRT_1.3.1.tar.gz(r-4.5-noble)SCRT_1.3.1.tar.gz(r-4.4-noble)
SCRT_1.3.1.tgz(r-4.4-emscripten)SCRT_1.3.1.tgz(r-4.3-emscripten)
SCRT.pdf |SCRT.html✨
SCRT/json (API)
# Install 'SCRT' in R: |
install.packages('SCRT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- ABAB - Hypothetical ABAB data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:b806d356a5. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-linux | OK | Nov 10 2024 |
Exports:assignmentsdistribution.randomdistribution.systematicgraph1observedpvalue.randompvalue.systematicquantityselectdesign
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Single-Case Randomization Tests | SCRT-package |
Hypothetical ABAB data | ABAB |
All assignments possibilities | assignments |
Nonexhaustive randomization distribution | distribution.random |
Exhaustive randomization distribution | distribution.systematic |
Graphical representation of single-case data | graph1 |
Observed test statistic | observed |
P-value using the Monte Carlo procedure | pvalue.random |
P-value using the systematic procedure | pvalue.systematic |
Number of assignment possibilities | quantity |
Selection on one assignment possibility | selectdesign |