Package: singcar 0.1.5

singcar: Comparing Single Cases to Small Samples

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.

Authors:Jonathan Rittmo [aut, cre], Robert McIntosh [aut]

singcar_0.1.5.tar.gz
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singcar.pdf |singcar.html
singcar/json (API)
NEWS

# Install 'singcar' in R:
install.packages('singcar', repos = c('https://jorittmo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jorittmo/singcar/issues

Datasets:

On CRAN:

Conda:

4.18 score 3 stars 10 scripts 242 downloads 15 exports 3 dependencies

Last updated 2 years agofrom:71ebac25ad. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winOKMar 05 2025
R-4.5-macOKMar 05 2025
R-4.5-linuxOKMar 05 2025
R-4.4-winOKMar 05 2025
R-4.4-macOKMar 05 2025
R-4.4-linuxOKMar 05 2025
R-4.3-winOKMar 05 2025
R-4.3-macOKMar 05 2025

Exports:BSDTBSDT_covBSDT_cov_powerBSDT_powerBTDBTD_covBTD_cov_powerBTD_powerMTDRSDTRSDT_powerTDTD_powerUDTUDT_power

Dependencies:CholWishartMASSwithr

The R package singcar: Comparing Single Cases to Small Samples

Rendered fromsingcar_vignette.Rmdusingknitr::rmarkdownon Mar 05 2025.

Last update: 2023-03-15
Started: 2020-04-28