Package: ccostr 0.1.1

Lars Boerty

ccostr: Estimation of Mean Costs in Censored Data

Implementation of estimators for inferring the mean of censored cost data. Including the estimators BT from Bang and Tsiatis (2000) <doi:10.1093/biomet/87.2.329> and ZT from Zhao and Tian (2001) <doi:10.1111/j.0006-341X.2001.01002.x>.

Authors:Lars Boerty [aut, cre], Rasmus Broendum [aut], Martin Boegsted [aut], Haematology Research Unit - Aalborg [cph]

ccostr_0.1.1.tar.gz
ccostr_0.1.1.zip(r-4.7-any)ccostr_0.1.1.zip(r-4.6-any)ccostr_0.1.1.zip(r-4.5-any)
ccostr_0.1.1.tgz(r-4.6-any)ccostr_0.1.1.tgz(r-4.5-any)
ccostr_0.1.1.tar.gz(r-4.7-any)ccostr_0.1.1.tar.gz(r-4.6-any)
ccostr_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ccostr/json (API)

# Install 'ccostr' in R:
install.packages('ccostr', repos = c('https://clinda-aau.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/clinda-aau/ccostr/issues

Datasets:
  • hcost - Simulated data from the stata hcost package

On CRAN:

Conda:

5.98 score 5 stars 32 scripts 353 downloads 2 exports 40 dependencies

Last updated from:d3df69b851. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK162
source / vignettesOK202
linux-releaseOK157
macos-releaseOK144
macos-oldrelOK128
windows-develOK130
windows-releaseOK139
windows-oldrelOK135
wasm-releaseOK116

Exports:ccmeansimCostData

Dependencies:clicpp11data.tabledplyrevaluateexpmfarverforcatsgenericsggplot2gluegtablehighrisobandknitrlabelinglatticelifecyclemagrittrMatrixmsmmvtnormpillarpkgconfigR6rbibutilsRColorBrewerRdpackrlangS7scalessurvivaltibbletidyselectutf8vctrsviridisLitewithrxfunyaml

Example: Replicating st0399 results
References
Rendered fromccostr.Rmdusingknitr::rmarkdown

Last update: 2025-09-19
Started: 2019-07-08

Simulation study: Bias and coverage of the estimators
Single simulation | Repeated simulations for bias and coverage | Results | Bias | Coverage | References
Rendered fromccostrSimulation.Rmdusingknitr::rmarkdown

Last update: 2025-09-19
Started: 2019-07-08