CRAN/E | MedianaDesigner

MedianaDesigner

Power and Sample Size Calculations for Clinical Trials

Installation

About

Efficient simulation-based power and sample size calculations are supported for a broad class of late-stage clinical trials. The following modules are included in the package: Adaptive designs with data-driven sample size or event count re-estimation, Adaptive designs with data-driven treatment selection, Adaptive designs with data-driven population selection, Optimal selection of a futility stopping rule, Event prediction in event-driven trials, Adaptive trials with response-adaptive randomization (experimental module), Traditional trials with multiple objectives (experimental module). Traditional trials with cluster-randomized designs (experimental module).

github.com/medianasoft/MedianaDesigner
Bug report File report

Key Metrics

Version 0.13
R ≥ 3.1.2
Published 2023-08-28 247 days ago
Needs compilation? yes
License GPL-3
CRAN checks MedianaDesigner results

Downloads

Yesterday 7 -36%
Last 7 days 79 -20%
Last 30 days 269 -12%
Last 90 days 858 -24%
Last 365 days 3.868 +8%

Maintainer

Maintainer

Alex Dmitrienko

admitrienko@mediana.us

Authors

Alex Dmitrienko

aut / cre

Material

ChangeLog
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

MedianaDesigner archive

Depends

R ≥ 3.1.2

Imports

Rcpp ≥ 0.12.10
RcppNumerical
methods
officer
flextable
devEMF
mvtnorm
shiny
shinydashboard
shinyMatrix
foreach
parallel
doParallel
MASS
rootSolve
lme4
lmerTest
pbkrtest

Suggests

testthat
doRNG

LinkingTo

Rcpp
RcppEigen
RcppNumerical