adestr: Estimation in Optimal Adaptive Two-Stage Designs
Methods to evaluate the performance characteristics of
various point and interval estimators for optimal adaptive two-stage designs as described
in Meis et al. (2024) <doi:10.1002/sim.10020>.
Specifically, this package is written to work with trial designs created by the 'adoptr' package
(Kunzmann et al. (2021) <doi:10.18637/jss.v098.i09>; Pilz et al. (2021) <doi:10.1002/sim.8953>)).
Apart from the a priori evaluation of performance characteristics, this package also allows for the
evaluation of the implemented estimators on real datasets, and it implements methods
to calculate p-values.
Version:
1.0.0
Imports:
methods, stats, grDevices,
cubature,
ggplot2,
ggpubr,
scales,
latex2exp,
forcats,
future.apply,
progressr,
Rdpack
Published:
2024年07月12日
Author:
Jan Meis
ORCID iD [aut,
cre],
Martin Maechler
ORCID iD
[cph] (Original author of monoSpl.c (from the 'stats' package).)
Maintainer:
Jan Meis <meis at imbi.uni-heidelberg.de>
Copyright:
This package contains a modified version of the monotonic
spline functions from the 'stats' package. Specifically, the
code is containted in the files 'R/fastmonoHFC.R',
'src/fastmonoHFC.c', 'src/modreg.h' and 'src/monoSpl.c'. The R
Core team and Martin Maechler are the copyright holders of the
original code. Jan Meis is the copyright holder of everything
else.
NeedsCompilation:
yes
Documentation:
Downloads:
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