Package: depend.truncation 3.0
depend.truncation: Statistical Methods for the Analysis of Dependently Truncated Data
Estimation and testing methods for dependently truncated data. Semi-parametric methods are based on Emura et al. (2011)<Stat Sinica 21:349-67>, Emura & Wang (2012)<doi:10.1016/j.jmva.2012.03.012>, and Emura & Murotani (2015)<doi:10.1007/s11749-015-0432-8>. Parametric approaches are based on Emura & Konno (2012)<doi:10.1007/s00362-014-0626-2> and Emura & Pan (2017)<doi:10.1007/s00362-017-0947-z>. A regression approach is based on Emura & Wang (2016)<doi:10.1007/s10463-015-0526-9>. Quasi-independence tests are based on Emura & Wang (2010)<doi:10.1016/j.jmva.2009.07.006>. Right-truncated data for Japanese male centenarians are given by Emura & Murotani (2015)<doi:10.1007/s11749-015-0432-8>.
Authors:
depend.truncation_3.0.tar.gz
depend.truncation_3.0.zip(r-4.7)depend.truncation_3.0.zip(r-4.6)depend.truncation_3.0.zip(r-4.5)
depend.truncation_3.0.tgz(r-4.6-any)depend.truncation_3.0.tgz(r-4.5-any)
depend.truncation_3.0.tar.gz(r-4.7-any)depend.truncation_3.0.tar.gz(r-4.6-any)
depend.truncation_3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
depend.truncation/json (API)
| # Install 'depend.truncation' in R: |
| install.packages('depend.truncation', repos = c('https://takeshiemura1.r-universe.dev', 'https://cloud.r-project.org')) |
- centenarian - Japanese Centenarians Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ede799f232. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 128 | ||
| source / vignettes | OK | 149 | ||
| linux-release-x86_64 | OK | 104 | ||
| macos-release-arm64 | OK | 115 | ||
| macos-oldrel-arm64 | OK | 111 | ||
| windows-devel | OK | 83 | ||
| windows-release | OK | 76 | ||
| windows-oldrel | OK | 74 | ||
| wasm-release | OK | 86 |
Exports:CHAIEB.ClaytonCHAIEB.FrankdependAFT.regEMURA.ClaytonEMURA.FrankLogrank.statLogrank.stat.tieNPMLE.FrankNPMLE.IndepNPMLE.NormalNPMLE.PlackettPMLE.Clayton.ExponentialPMLE.Clayton.WeibullPMLE.Normal
Dependencies:mvtnorm
