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splineCox  

A Two-Stage Estimation Approach to Cox Regression Using M-Spline Function
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("splineCox", "0.0.3")



Attach the package and use:
library("splineCox")
Maintained by
Ren Teranishi
[Scholar Profile | Author Map]
First Published: 2024-12-18
Latest Update: 2024-12-18
Description:
Implements a two-stage estimation approach for Cox regression using five-parameter M-spline functions to model the baseline hazard. It allows for flexible hazard shapes and model selection based on log-likelihood criteria.
How to cite:
Ren Teranishi (2024). splineCox: A Two-Stage Estimation Approach to Cox Regression Using M-Spline Function. R package version 0.0.3, https://cran.r-project.org/web/packages/splineCox. Accessed 07 Apr. 2025.
Previous versions and publish date:
0.0.1 (2024-12-18 17:00), 0.0.2 (2025-01-09 18:00)
Other packages that cited splineCox R package
View splineCox citation profile
Other R packages that splineCox depends, imports, suggests or enhances
Complete documentation for splineCox
Functions, R codes and Examples using the splineCox R package
Full splineCox package functions and examples
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