Package: ABSurvTDC 0.1.0

ABSurvTDC: Survival Analysis using Time Dependent Covariate for Animal Breeding

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) <doi:10.1111/j.2517-6161.1972.tb00899.x>, 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) <doi:10.1007/b97377>.

Authors:Dr. Himadri Ghosh [aut, cre], Mr. Saikath Das [aut], Dr. Md Yeasin [aut], Dr. Amrit Kumar Paul [aut]

ABSurvTDC_0.1.0.tar.gz
ABSurvTDC_0.1.0.zip(r-4.5)ABSurvTDC_0.1.0.zip(r-4.4)ABSurvTDC_0.1.0.zip(r-4.3)
ABSurvTDC_0.1.0.tgz(r-4.4-any)ABSurvTDC_0.1.0.tgz(r-4.3-any)
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ABSurvTDC.pdf |ABSurvTDC.html
ABSurvTDC/json (API)

# Install 'ABSurvTDC' in R:
install.packages('ABSurvTDC', repos = c('https://hardikghosh911.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 278 downloads 3 exports 23 dependencies

Last updated 2 years agofrom:20ba5b05d0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-winOKNov 15 2024
R-4.5-linuxOKNov 15 2024
R-4.4-winOKNov 15 2024
R-4.4-macOKNov 15 2024
R-4.3-winOKNov 15 2024
R-4.3-macOKNov 15 2024

Exports:ABCoxPHCoxPredDataPrep

Dependencies:cellrangerclicpp11crayonfansigluehmslatticelifecyclemagrittrMatrixpillarpkgconfigprettyunitsprogressR6readxlrematchrlangsurvivaltibbleutf8vctrs