Package: LogisticRCI 1.1
Rafael de Andrade Moral
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.
Authors:
LogisticRCI_1.1.tar.gz
LogisticRCI_1.1.tar.gz(r-4.5-noble)LogisticRCI_1.1.tar.gz(r-4.4-noble)
LogisticRCI_1.1.tgz(r-4.4-emscripten)LogisticRCI_1.1.tgz(r-4.3-emscripten)
LogisticRCI.pdf |LogisticRCI.html✨
LogisticRCI/json (API)
| # Install 'LogisticRCI' in R: |
| install.packages('LogisticRCI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- RCI_sample_data - Sample Data for RCI Calculation
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:074609a304. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 17 2024 |
| R-4.5-linux | OK | Oct 17 2024 |
Exports:RCIRCI_newpatient
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Linear and Logistic Regression-Based Reliable Change Index | LogisticRCI-package LogisticRCI |
| Calculate the Linear or Logistic Regression-Based Reliable Change Index (RCI) | RCI |
| Calculate the Linear or Logistic Regression-Based Reliable Change Index (RCI) for a New Patient Based on a Fitted Model | RCI_newpatient |
| Sample Data for RCI Calculation | RCI_sample_data |