1. Markov model with independent censoring | 2. Markov model with independent censoring and covariates | 3. Markov model with dependent censoring and covariates | 4. Semi-Markov model with independent censoring
Package: AalenJohansen 1.0
Martin Bladt
AalenJohansen: Conditional Aalen-Johansen Estimation
Provides the conditional Nelson-Aalen and Aalen-Johansen estimators. The methods are based on Bladt & Furrer (2023), in preparation.
Authors:
AalenJohansen_1.0.tar.gz
AalenJohansen_1.0.tar.gz(r-4.7-any)AalenJohansen_1.0.tar.gz(r-4.6-any)
AalenJohansen_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AalenJohansen/json (API)
| # Install 'AalenJohansen' in R: |
| install.packages('AalenJohansen', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:94f20ad1c1. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 119 | ||
| source / vignettes | OK | 149 | ||
| linux-release-x86_64 | OK | 127 | ||
| wasm-release | OK | 92 |
Exports:aalen_johansenprodintsim_path
Dependencies:
