Introduction | Data generation
Package: svycoxme 1.0.0.9000
svycoxme: Mixed-Effects Cox Models for Complex Samples
Mixed-effect proportional hazards models for multistage stratified, cluster-sampled, unequally weighted survey samples. Provides variance estimation by Taylor series linearisation or replicate weights.
Authors:
svycoxme_1.0.0.9000.tar.gz
svycoxme_1.0.0.9000.zip(r-4.7-x86_64)svycoxme_1.0.0.9000.zip(r-4.7-arm64)svycoxme_1.0.0.9000.zip(r-4.6-x86_64)svycoxme_1.0.0.9000.zip(r-4.6-arm64)svycoxme_1.0.0.9000.zip(r-4.5-x86_64)
svycoxme_1.0.0.9000.tgz(r-4.6-x86_64)svycoxme_1.0.0.9000.tgz(r-4.6-arm64)svycoxme_1.0.0.9000.tgz(r-4.5-x86_64)svycoxme_1.0.0.9000.tgz(r-4.5-arm64)
svycoxme_1.0.0.9000.tar.gz(r-4.7-arm64)svycoxme_1.0.0.9000.tar.gz(r-4.7-x86_64)svycoxme_1.0.0.9000.tar.gz(r-4.6-arm64)svycoxme_1.0.0.9000.tar.gz(r-4.6-x86_64)
svycoxme_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
svycoxme/json (API)
| # Install 'svycoxme' in R: |
| install.packages('svycoxme', repos = c('https://bdrayton.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bdrayton/svycoxme/issues
Datasets:
Last updated from:097450de4d. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 435 | ||
| linux-devel-x86_64 | OK | 467 | ||
| source / vignettes | OK | 222 | ||
| linux-release-arm64 | OK | 472 | ||
| linux-release-x86_64 | OK | 420 | ||
| macos-release-arm64 | OK | 763 | ||
| macos-release-x86_64 | OK | 995 | ||
| macos-oldrel-arm64 | OK | 568 | ||
| macos-oldrel-x86_64 | OK | 925 | ||
| windows-devel-arm64 | OK | 823 | ||
| windows-devel-x86_64 | OK | 754 | ||
| windows-release-arm64 | OK | 789 | ||
| windows-release-x86_64 | OK | 698 | ||
| windows-oldrel-x86_64 | OK | 695 | ||
| wasm-release | OK | 110 |
Exports:svycoxme
Dependencies:bdsmatrixbootcodetoolscoxmeDBIdigestfutureglobalslatticelistenvlme4MASSMatrixminqamitoolsnlmenloptrnumDerivparallellyrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulassurveysurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Synthetic population data | pop |
| Calculate residuals for a 'coxme' fit | residuals.coxme |
| Simple random cluster sample of 100 clusters from synthetic population data, pop. | samp_srcs |
| Survey-weighted mixed-effects Cox models | svycoxme svycoxme.DBIsvydesign svycoxme.survey.design svycoxme.svyrep.design |