singcar

Comparing Single Cases to Small Samples

CRAN Package

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.


Documentation


Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports3 packages
  • Suggests6 packages