Package: JustifyAlpha 0.1.1

Maximilian Maier

JustifyAlpha: Justifying Alpha Levels for Hypothesis Tests

Functions to justify alpha levels for statistical hypothesis tests by avoiding Lindley's paradox, or by minimizing or balancing error rates. For more information about the package please read the following: Maier & Lakens (2021) <doi:10.31234/osf.io/ts4r6>).

Authors:Maximilian Maier [aut, cre], Daniel Lakens [aut]

JustifyAlpha_0.1.1.tar.gz
JustifyAlpha_0.1.1.tar.gz(r-4.5-noble)JustifyAlpha_0.1.1.tar.gz(r-4.4-noble)
JustifyAlpha_0.1.1.tgz(r-4.4-emscripten)JustifyAlpha_0.1.1.tgz(r-4.3-emscripten)
JustifyAlpha.pdf |JustifyAlpha.html✨
JustifyAlpha/json (API)
NEWS

# Install 'JustifyAlpha' in R:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.10 score 25 scripts 180 downloads 5 exports 104 dependencies

Last updated 3 years agofrom:2311063963. Checks:OK: 1 NOTE: 1. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 21 2024
R-4.5-linux	NOTE	Oct 21 2024

Exports:ftestEvidence optimal_alpha optimal_sample runApp ttestEvidence

Dependencies:abind afex askpass backports base64enc BayesFactor boot broom bslib cachem car carData cli coda colorspace commonmark contfrac cowplot cpp11 crayon curl Deriv deSolve digest doBy dplyr elliptic emmeans estimability fansi farver fastmap fontawesome Formula fs generics ggplot2 glue gridExtra gtable htmltools httpuv hypergeo isoband jquerylib jsonlite labeling later lattice lifecycle lme4 lmerTest magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa modelr munsell mvtnorm nlme nloptr nnet numDeriv pbapply pbkrtest pillar pkgconfig plyr promises purrr pwr qpdf quantreg R6 rappdirs RColorBrewer Rcpp RcppEigen reshape2 rlang sass scales shiny shinydashboard sourcetools SparseM stringi stringr Superpower survival sys tibble tidyr tidyselect utf8 vctrs viridisLite withr xtable

Introduction to JustifyAlpha

Daniel Lakens & Maximilian Maier

Rendered fromIntroduction_to_JustifyAlpha.Rmdusingknitr::rmarkdownon Oct 21 2024.

Last update: 2021-09-15
Started: 2021-09-15

Citation

Readme and manuals

Help Manual

Help page	Topics
Justify your alpha level by avoiding the Lindley paradox or aiming for moderate or strong evidence when using anova.	ftestEvidence
Justify your alpha level by minimizing or balancing Type 1 and Type 2 error rates.	optimal_alpha
Justify your alpha level by minimizing or balancing Type 1 and Type 2 error rates.	optimal_sample
Launch the Justify your alpha shiny app.	runApp
Justify your alpha level by avoiding the Lindley paradox or aiming for moderate or strong evidence when using a t-test.	ttestEvidence