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When comparing single cases to control populations and no parameters are known researchers and clinicians must estimate these with a control sample. This is often done when testing a case's abnormality on some variable or testing abnormality of the discrepancy between two variables. Appropriate frequentist and Bayesian methods for doing this are here implemented, including tests allowing for the inclusion of covariates. These have been developed first and foremost by John Crawford and Paul Garthwaite, e.g. in Crawford and Howell (1998) <doi:10.1076/clin.12.4.482.7241>, Crawford and Garthwaite (2005) <doi:10.1037/0894-4105.19.3.318>, Crawford and Garthwaite (2007) <doi:10.1080/02643290701290146> and Crawford, Garthwaite and Ryan (2011) <doi:10.1016/j.cortex.2011.02.017>. The package is also equipped with power calculators for each method.
Version: | 0.1.5 |
Depends: | R (≥ 2.10) |
Imports: | stats, CholWishart, MASS, withr |
Suggests: | knitr, rmarkdown, bookdown, lme4, lmerTest, testthat (≥ 2.1.0) |
Published: | 2023-03-16 |
DOI: | 10.32614/CRAN.package.singcar |
Author: | Jonathan Rittmo |
Maintainer: | Jonathan Rittmo <j.rittmo at gmail.com> |
BugReports: | https://github.com/jorittmo/singcar/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/jorittmo/singcar |
NeedsCompilation: | no |
Citation: | singcar citation info |
Materials: | NEWS |
CRAN checks: | singcar results |
Reference manual: | singcar.pdf |
Vignettes: |
The R package singcar: Comparing Single Cases to Small Samples |
Package source: | singcar_0.1.5.tar.gz |
Windows binaries: | r-devel: singcar_0.1.5.zip, r-release: singcar_0.1.5.zip, r-oldrel: singcar_0.1.5.zip |
macOS binaries: | r-release (arm64): singcar_0.1.5.tgz, r-oldrel (arm64): singcar_0.1.5.tgz, r-release (x86_64): singcar_0.1.5.tgz, r-oldrel (x86_64): singcar_0.1.5.tgz |
Old sources: | singcar archive |
Please use the canonical form https://CRAN.R-project.org/package=singcar to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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