Package: discfrail 0.1
discfrail: Cox Models for Time-to-Event Data with Nonparametric Discrete Group-Specific Frailties
Functions for fitting Cox proportional hazards models for grouped time-to-event data, where the shared group-specific frailties have a discrete nonparametric distribution. There are also functions for simulating from these models, and from similar models with a parametric baseline survival function.
Authors:
discfrail_0.1.tar.gz
discfrail_0.1.zip(r-4.5)discfrail_0.1.zip(r-4.4)discfrail_0.1.zip(r-4.3)
discfrail_0.1.tgz(r-4.4-any)discfrail_0.1.tgz(r-4.3-any)
discfrail_0.1.tar.gz(r-4.5-noble)discfrail_0.1.tar.gz(r-4.4-noble)
discfrail_0.1.tgz(r-4.4-emscripten)discfrail_0.1.tgz(r-4.3-emscripten)
discfrail.pdf |discfrail.html✨
discfrail/json (API)
# Install 'discfrail' in R: |
install.packages('discfrail', repos = c('https://fgaspe04.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fgaspe04/discfrail/issues
- weibdata10040 - Hierarchical time-to-event data simulated from a Weibull baseline distribution with a nonparametric frailty
- weibdata2030 - Hierarchical time-to-event data simulated from a Weibull baseline distribution with a nonparametric frailty
Last updated 6 years agofrom:66c426b9d1. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win | NOTE | Nov 07 2024 |
R-4.5-linux | NOTE | Nov 07 2024 |
R-4.4-win | OK | Nov 07 2024 |
R-4.4-mac | OK | Nov 07 2024 |
R-4.3-win | OK | Nov 07 2024 |
R-4.3-mac | OK | Nov 07 2024 |
Exports:nelsonaalen_npdfnpdf_coxsim_npdfsim_weibdfsurvfit_npdf