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
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-prerel: LogisticRCI_1.1.zip, r-release: LogisticRCI_1.1.zip, r-oldrel: LogisticRCI_1.1.zip
macOS binaries:	r-prerel (arm64): LogisticRCI_1.1.tgz, r-release (arm64): LogisticRCI_1.1.tgz, r-oldrel (arm64): LogisticRCI_1.1.tgz, r-prerel (x86_64): LogisticRCI_1.1.tgz, r-release (x86_64): LogisticRCI_1.1.tgz
Old sources:	LogisticRCI archive

Linking:

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