Computation of key characteristics and plots for blinded sample size recalculation. Continuous as well as binary endpoints are supported in superiority and non-inferiority trials. The implemented methods include the approaches by Lu, K. (2019) <doi:10.1002/pst.1737>, Kieser, M. and Friede, T. (2000) <doi:10.1002/(SICI)1097-0258(20000415)19:7%3C901::AID-SIM405%3E3.0.CO;2-L>, Friede, T. and Kieser, M. (2004) <doi:10.1002/pst.140>, Friede, T., Mitchell, C., Mueller-Veltern, G. (2007) <doi:10.1002/bimj.200610373>, and Friede, T. and Kieser, M. (2011) <doi:10.3414/ME09-01-0063>.
Version: | 0.1.2 |
Imports: | methods, Rcpp |
LinkingTo: | Rcpp |
Suggests: | testthat, covr |
Published: | 2020-05-11 |
Author: | Lukas Baumann [aut], Maximilian Pilz [aut, cre], Institute of Medical Biometry and Informatics - University of Heidelberg [cph] |
Maintainer: | Maximilian Pilz <pilz at imbi.uni-heidelberg.de> |
License: | MIT + file LICENSE |
URL: | https://github.com/imbi-heidelberg/blindrecalc |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | blindrecalc results |
Reference manual: | blindrecalc.pdf |
Package source: | blindrecalc_0.1.2.tar.gz |
Windows binaries: | r-devel: blindrecalc_0.1.2.zip, r-release: blindrecalc_0.1.2.zip, r-oldrel: blindrecalc_0.1.2.zip |
macOS binaries: | r-release: blindrecalc_0.1.2.tgz, r-oldrel: blindrecalc_0.1.2.tgz |
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