Package: PRDA 1.0.2

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)PRDA_1.0.2.zip(r-4.6)PRDA_1.0.2.zip(r-4.5)
PRDA_1.0.2.tgz(r-4.6-x86_64)PRDA_1.0.2.tgz(r-4.6-arm64)PRDA_1.0.2.tgz(r-4.5-x86_64)PRDA_1.0.2.tgz(r-4.5-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://claudiozandonella.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:

Conda:

design-analysisstatisticsopenblascpp

6.14 score 6 stars 38 scripts 171 downloads 2 exports 4 dependencies

Last updated from:8ace2ae8a4. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK212
linux-devel-x86_64OK163
source / vignettesOK346
linux-release-arm64OK178
linux-release-x86_64OK154
macos-release-arm64OK142
macos-release-x86_64OK251
macos-oldrel-arm64OK107
macos-oldrel-x86_64OK282
windows-develOK123
windows-releaseOK145
windows-oldrelOK124
wasm-releaseOK136

Exports:prospectiveretrospective

Dependencies:MASSpbapplyRcppRcppArmadillo

PRDA: Prospective and Retrospective Design Analysis
Introduction to design analysis | Enhancing researchers awareness | More on design analysis | The package | Install | Functions | Hypothetical effect size | Case study | Retrospective design analysis | Prospective design analysis | References
Rendered fromPRDA.Rmdusingknitr::rmarkdown

Last update: 2020-12-08
Started: 2020-09-18

Prospective Design Analysis
Prospective Design Analysis for Correlation | Example 1: Pearson's correlation | Prospective Design Analysis for Means Comparison | Example 2: Paired t-test | Example 3: Two-sample t-test | Example 4: Welch's t-test | Population effect size distribution | Example 5: Effect size distribution | Graphical representation | References
Rendered fromprospective.Rmdusingknitr::rmarkdown

Last update: 2020-12-05
Started: 2020-07-31

Retrospective Design Analysis
Retrospective Design Analysis for Correlation | Example 1: Pearson's correlation | Retrospective Design Analysis for Means Comparison | Example 2: Paired t-test | Example 3: Two-sample t-test | Example 4: Welch's t-test | Population effect size distribution | Example 5: Effect size distribution | Graphical representation | References
Rendered fromretrospective.Rmdusingknitr::rmarkdown

Last update: 2020-12-05
Started: 2020-07-31