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:Bradley Drayton [aut, cre, cph]

svycoxme_1.0.0.9000.tar.gz
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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

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

pop - Synthetic population data
samp_srcs - Simple random cluster sample of 100 clusters from synthetic population data, pop.

On CRAN:

cpp

3.70 score 3 scripts 518 downloads 1 exports 28 dependencies

Last updated from:097450de4d. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	526
linux-devel-x86_64	OK	529
source / vignettes	OK	201
linux-release-arm64	OK	482
linux-release-x86_64	OK	517
macos-release-arm64	OK	495
macos-release-x86_64	OK	857
macos-oldrel-arm64	OK	433
macos-oldrel-x86_64	OK	862
windows-devel	OK	549
windows-release	OK	716
windows-oldrel	OK	605
wasm-release	OK	118

Exports:svycoxme

Dependencies:bdsmatrix boot codetools coxme DBI digest future globals lattice listenv lme4 MASS Matrix minqa mitools nlme nloptr numDeriv parallelly rbibutils Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang survey survival

An introduction to svycoxme

Introduction | Data generation

Rendered fromsvycoxme.Rmdusingknitr::rmarkdown

Last update: 2024-07-19
Started: 2024-07-18

Citation

Development and contributors

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