Package: PRDA 1.0.0

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_1.0.0.tar.gz
PRDA_1.0.0.tar.gz(r-4.5-noble)PRDA_1.0.0.tar.gz(r-4.4-noble)
PRDA_1.0.0.tgz(r-4.4-emscripten)PRDA_1.0.0.tgz(r-4.3-emscripten)
PRDA.pdf |PRDA.html✨
PRDA/json (API)

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

Peer review:

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

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

openblascpp

3.18 score 30 scripts 123 downloads 2 exports 4 dependencies

Last updated 4 years agofrom:d3e2ecac96. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 15 2024
R-4.5-linux-x86_64NOTEDec 15 2024

Exports:prospectiveretrospective

Dependencies:MASSpbapplyRcppRcppArmadillo

PRDA: Prospective and Retrospective Design Analysis

Rendered fromPRDA.Rmdusingknitr::rmarkdownon Dec 15 2024.

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

Prospective Design Analysis

Rendered fromprospective.Rmdusingknitr::rmarkdownon Dec 15 2024.

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

Retrospective Design Analysis

Rendered fromretrospective.Rmdusingknitr::rmarkdownon Dec 15 2024.

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