This package is considered a duplicate. The official version of this package is found at:https://claudiozandonella.r-universe.dev/PRDA

Package: PRDA 1.0.2

Claudio Zandonella Callegher

PRDA: Conduct a Prospective or Retrospective Design Analysis

An implementation of the "Design Analysis" proposed by Gelman and Carlin (2014) <doi:10.1177/1745691614551642>. It combines the evaluation of Power-Analysis with other inferential-risks as Type-M error (i.e. Magnitude) and Type-S error (i.e. Sign). See also Altoè et al. (2020) <doi:10.3389/fpsyg.2019.02893> and Bertoldo et al. (2020) <doi:10.31234/osf.io/q9f86>.

Authors:Claudio Zandonella Callegher [aut, cre], Massimiliano Pastore [aut], Angela Andreella [aut], Anna Vesely [aut], Enrico Toffalini [aut], Giulia Bertoldo [aut], Gianmarco Altoè [aut]

PRDA_1.0.2.tar.gz
PRDA_1.0.2.zip(r-4.7-x86_64)PRDA_1.0.2.zip(r-4.7-arm64)PRDA_1.0.2.zip(r-4.6-x86_64)PRDA_1.0.2.zip(r-4.6-arm64)
PRDA_1.0.2.tar.gz(r-4.7-arm64)PRDA_1.0.2.tar.gz(r-4.7-x86_64)PRDA_1.0.2.tar.gz(r-4.6-arm64)PRDA_1.0.2.tar.gz(r-4.6-x86_64)
PRDA_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PRDA/json (API)

# Install 'PRDA' in R:

install.packages('PRDA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/claudiozandonella/prda/issues

Pkgdown/docs site:https://claudiozandonella.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

openblas cpp

3.93 score 57 scripts 277 downloads 2 exports 4 dependencies

Last updated from:d1794824e4. Checks:10 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	123
linux-devel-x86_64	OK	158
source / vignettes	OK	293
linux-release-arm64	OK	119
linux-release-x86_64	OK	158
windows-devel-arm64	OK	212
windows-devel-x86_64	OK	215
windows-release-arm64	OK	253
windows-release-x86_64	OK	172
wasm-release	OK	125