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interactionRCS  

Calculate Estimates in Models with Interaction
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("interactionRCS", "0.1.2")



Attach the package and use:
library("interactionRCS")
Maintained by
Giorgio Melloni
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-01
Latest Update: 2023-11-21
Description:
A tool to calculate and plot estimates from models in which an interaction between the main predictor and a continuous covariate has been specified. Methods used in the package refer to Harrell Jr FE (2015, ISBN:9783319330396); Durrleman S, Simon R. (1989) ; Greenland S. (1995) .
How to cite:
Giorgio Melloni (2022). interactionRCS: Calculate Estimates in Models with Interaction. R package version 0.1.2, https://cran.r-project.org/web/packages/interactionRCS. Accessed 13 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:50), 0.1.0 (2022-03-01 09:50), 0.1.1 (2023-11-21 23:40)
Other packages that cited interactionRCS R package
View interactionRCS citation profile
Other R packages that interactionRCS depends, imports, suggests or enhances
Complete documentation for interactionRCS
Functions, R codes and Examples using the interactionRCS R package
Some associated functions: intEST . linLIN . loglinHR . loglinOR . plotINT . rcsHR . rcsLIN . rcsOR . umaru . 
Some associated R codes: hrcubspline.R . hrspline.R . lincubspline.R . lininter.R . orcubspline.R . orspline.R . plot_spline.R . umaru.R . wrapper_int.R .  Full interactionRCS package functions and examples
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