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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 |
| 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 |
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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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