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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.pdf
Vignettes: Getting Started with LogisticRCI

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 form https://CRAN.R-project.org/package=LogisticRCI to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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