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LogisticRCI  

Linear and Logistic Regression-Based Reliable Change Index
View on CRAN: Click here


Download and install LogisticRCI package within the R console
Install from CRAN:
install.packages("LogisticRCI")

Install from Github:
library("remotes")
install_github("cran/LogisticRCI")

Install by package version:
library("remotes")
install_version("LogisticRCI", "1.1")



Attach the package and use:
library("LogisticRCI")
Maintained by
Rafael de Andrade Moral
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-15
Latest Update: 2022-03-09
Description:
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. . The RCI function returns a score assumed to be approximately normally distributed, which is helpful to detect patients that may present cognitive decline.
How to cite:
Rafael de Andrade Moral (2022). LogisticRCI: Linear and Logistic Regression-Based Reliable Change Index. R package version 1.1, https://cran.r-project.org/web/packages/LogisticRCI. Accessed 06 Oct. 2026.
Previous versions and publish date:
1.0 (2022-02-15 10:10), (2026-07-09 08:08)
Other packages that cited LogisticRCI R package
View LogisticRCI citation profile
Other R packages that LogisticRCI depends, imports, suggests or enhances
Complete documentation for LogisticRCI
Functions, R codes and Examples using the LogisticRCI R package
Some associated functions: LogisticRCI-package . RCI . RCI_newpatient . RCI_sample_data . 
Some associated R codes: RCI.R .  Full LogisticRCI package functions and examples
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