CRAN/E | singcar

singcar

Comparing Single Cases to Small Samples

Installation

About

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.

Citation singcar citation info
github.com/jorittmo/singcar
Bug report File report

Key Metrics

Version 0.1.5
R ≥ 2.10
Published 2023-03-16 571 days ago
Needs compilation? no
License MIT
License File
CRAN checks singcar results

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Maintainer

Maintainer

Jonathan Rittmo

Authors

Jonathan Rittmo

aut / cre

Robert McIntosh

aut

Material

NEWS
Reference manual
Package source

Vignettes

The R package singcar: Comparing Single Cases to Small Samples

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

singcar archive

Depends

R ≥ 2.10

Imports

stats
CholWishart
MASS
withr

Suggests

knitr
rmarkdown
bookdown
lme4
lmerTest
testthat ≥2.1.0