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ABSurvTDC  

Survival Analysis using Time Dependent Covariate for Animal Breeding
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ABSurvTDC", "0.1.0")



Attach the package and use:
library("ABSurvTDC")
Maintained by
Dr. Himadri Ghosh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-12
Latest Update: 2023-01-12
Description:
Survival analysis is employed to model the time it takes for events to occur. Survival model examines the relationship between survival and one or more predictors, usually termed covariates in the survival-analysis literature. To this end, Cox-proportional (Cox-PH) hazard rate model introduced in a seminal paper by Cox (1972) , is a broadly applicable and the most widely used method of survival analysis. This package can be used to estimate the effect of fixed and time-dependent covariates and also to compute the survival probabilities of the lactation of dairy animal. This package has been developed using algorithm of Klein and Moeschberger (2003) .
How to cite:
Dr. Himadri Ghosh (2023). ABSurvTDC: Survival Analysis using Time Dependent Covariate for Animal Breeding. R package version 0.1.0, https://cran.r-project.org/web/packages/ABSurvTDC. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Complete documentation for ABSurvTDC
Functions, R codes and Examples using the ABSurvTDC R package
Some associated functions: ABCoxPH . CoxPred . DataPrep . 
Some associated R codes: ABSurvTDC.R .  Full ABSurvTDC package functions and examples
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