ABSurvTDC
0.1.0Survival Analysis using Time Dependent Covariate for Animal Breeding
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-13
- ERROR13 OK, 1 ERROR2026-03-12
- OK14 OK2026-03-10
Documentation
- Help pages
- 3
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing ABSurvTDC adds 19 packages (8 with compiled code, 6.7 MB of source tarballs). Heaviest: readxl 2.1 MB, vctrs 1.0 MB, rlang 766 KB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.0Latest2023-01-12 · current release
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-01-12
- Total releases
- 1 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 20 KB
Cite
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