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LogisticRCI: Linear and Logistic Regression-Based Reliable Change Index

Here we provide an implementation of the linear and logistic regression-based Reliable Change Index (RCI), to be used with lm and binomial glm model objects, respectively, following Moral et al. <https://psyarxiv.com/gq7az/>. The RCI function returns a score assumed to be approximately normally distributed, which is helpful to detect patients that may present cognitive decline.

Version:1.1
Depends:R (≥ 3.6.0)
Imports:methods, graphics, stats, utils
Suggests:ggplot2,knitr,rmarkdown,markdown
Published:2022-03-09
DOI:10.32614/CRAN.package.LogisticRCI
Author:Rafael de Andrade Moral [aut, cre], Unai Diaz-Orueta [aut], Javier Oltra-Cucarella [aut]
Maintainer:Rafael de Andrade Moral <rafael.deandrademoral at mu.ie>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:no
CRAN checks:LogisticRCI results

Documentation:

Reference manual:LogisticRCI.html ,LogisticRCI.pdf
Vignettes:Getting Started with LogisticRCI (source,R code)

Downloads:

Package source: LogisticRCI_1.1.tar.gz
Windows binaries: r-devel:LogisticRCI_1.1.zip, r-release:LogisticRCI_1.1.zip, r-oldrel:LogisticRCI_1.1.zip
macOS binaries: r-release (arm64):LogisticRCI_1.1.tgz, r-oldrel (arm64):LogisticRCI_1.1.tgz, r-release (x86_64):LogisticRCI_1.1.tgz, r-oldrel (x86_64):LogisticRCI_1.1.tgz
Old sources: LogisticRCI archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=LogisticRCIto link to this page.


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