| adestr {adestr} | R Documentation |
adestr
Description
Point estimates, confidence intervals, and p-values for optimal adaptive two-stage designs.
Details
This package implements methods to evaluate the performance characteristics of
various point and interval estimators for optimal adaptive two-stage designs.
Specifically, this package is written to interface with trial designs created by the adoptr package
(Kunzmann et al. 2021; Pilz et al. 2021).
Apart from the a priori evaluation of performance characteristics, this package also allows for the
calculation of the values of the estimators given real datasets, and it implements methods
to calculate p-values.
Author(s)
Maintainer: Jan Meis meis@imbi.uni-heidelberg.de (ORCID)
Other contributors:
Martin Maechler maechler@stat.math.ethz.ch (ORCID) (Original author of monoSpl.c (from the 'stats' package).) [copyright holder]
References
Kunzmann K, Pilz M, Herrmann C, Rauch G, Kieser M (2021).
“The adoptr package: Adaptive Optimal Designs for Clinical Trials in R.”
Journal of Statistical Software, 98(9), 1–21.
doi:10.18637/jss.v098.i09.
Pilz M, Kunzmann K, Herrmann C, Rauch G, Kieser M (2021).
“Optimal planning of adaptive two-stage designs.”
Statistics in Medicine, 40(13), 3196-3213.
doi:10.1002/sim.8953.
See Also
Statistic PointEstimator IntervalEstimator PValue
https://jan-imbi.github.io/adestr/