preference

2-Stage Clinical Trial Design and Analysis

Design and analyze two-stage randomized trials with a continuous outcome measure. The package contains functions to compute the required sample size needed to detect a given preference, treatment, and selection effect; alternatively, the package contains functions that can report the study power given a fixed sample size. Finally, analysis functions are provided to test each effect using either summary data (i.e. means, variances) or raw study data.

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Description file content

Package
preference
Type
Package
Title
2-Stage Clinical Trial Design and Analysis
Version
0.1.0
Date
2017-06-14
URL
BugReports
https://github.com/kaneplusplus/preference/issues
Description
Design and analyze two-stage randomized trials with a continuous outcome measure. The package contains functions to compute the required sample size needed to detect a given preference, treatment, and selection effect; alternatively, the package contains functions that can report the study power given a fixed sample size. Finally, analysis functions are provided to test each effect using either summary data (i.e. means, variances) or raw study data.
License
LGPL-2
Suggests
knitr, covr, testthat, ggplot2, devtools
VignetteBuilder
knitr
RoxygenNote
6.0.1
LazyData
true
NeedsCompilation
no
Packaged
2017-06-16 13:08:55 UTC; bricameron
Author
Briana Cameron [aut, cph, cre], Denise Esserman [ctb], Michael Kane [ctb]
Maintainer
Briana Cameron
Repository
CRAN
Date/Publication
2017-06-16 19:43:21 UTC

install.packages('preference')

0.1.0

4 months ago

https://github.com/kaneplusplus/

Briana Cameron

LGPL-2

Suggests

knitr, covr, testthat, ggplot2, devtools

Discussions