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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 |
Reference manual: | LogisticRCI.pdf |
Vignettes: |
Getting Started with LogisticRCI |
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 |
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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