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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ExtendedABSurvTDC" in publications use:'
type: software
license: GPL-3.0-only
title: 'ExtendedABSurvTDC: Survival Analysis using Indicators under Time Dependent
  Covariates'
version: 0.1.0
doi: 10.32614/CRAN.package.ExtendedABSurvTDC
abstract: Survival analysis is employed to model time-to-event data. This package
  examines the relationship between survival and one or more predictors, termed as
  covariates, which can include both treatment variables (e.g., season of birth, represented
  by indicator functions) and continuous variables. To this end, the Cox-proportional
  hazard (Cox-PH) model, introduced by Cox in 1972, is a widely applicable and commonly
  used method for survival analysis. This package enables the estimation of the effect
  of randomization for the treatment variable to account for potential confounders,
  providing adjustment when estimating the association with exposure. It accommodates
  both fixed and time-dependent covariates and computes survival probabilities for
  lactation periods in dairy animals. The package is built upon the algorithm developed
  by Klein and Moeschberger (2003) <DOI:10.1007/b97377>.
authors:
- family-names: Ghosh
  given-names: Dr. Himadri
  email: hghosh@gmail.com
- family-names: Das
  given-names: Mr. Saikath
  email: saikathdas007@gmail.com
- family-names: Yeasin
  given-names: Dr. Md
  email: yeasin.iasri@gmail.com
- family-names: Rakshit
  given-names: Dr. Debopam
  email: debopam.rakshit@icar.org.in
repository: https://hardikghosh911.r-universe.dev
commit: 9fe86ef8b46025ef3cfade5b55740464262d5bc6
date-released: '2025-10-01'
contact:
- family-names: Ghosh
  given-names: Dr. Himadri
  email: hghosh@gmail.com