Comparing Single Cases to Small Samples
Bayesian Standardised Difference Test
Bayesian Standardised Difference Test with Covariates
Power calculator for BSDT_cov
Power calculator for BSDT
Bayesian Test of Deficit
Bayesian Test of Deficit with Covariates
Power calculator for BTD_cov
Power calculator for BTD
Multivariate Test of deficit
Revised Standardised Difference Test
Power calculator for RSDT
singcar: Comparing Single Cases to Small Samples
Test of Deficit
Power calculator for TD
Unstandardised Difference Test
Power calculator for UDT
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.