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>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: ggplot2, dplyr, tibble, knitr, msm, forcats, rlang, data.table, survival, Rdpack
Suggests: rmarkdown, parallel, testthat (≥ 2.1.0)
Published: 2019-09-09
Author: Lars Boerty ORCID iD [aut, cre], Rasmus Broendum ORCID iD [aut], Martin Boegsted ORCID iD [aut], Haematology Research Unit - Aalborg [cph]
Maintainer: Lars Boerty <lars.borty at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: ccostr results

Documentation:

Reference manual: ccostr.pdf
Vignettes: Example replicating st0399 results
Simulation of bias and coverage

Downloads:

Package source: ccostr_0.1.0.tar.gz
Windows binaries: r-devel: ccostr_0.1.0.zip, r-release: ccostr_0.1.0.zip, r-oldrel: ccostr_0.1.0.zip
macOS binaries: r-release (arm64): ccostr_0.1.0.tgz, r-oldrel (arm64): ccostr_0.1.0.tgz, r-release (x86_64): ccostr_0.1.0.tgz

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