Package: dabestr
Type: Package
Title: Data Analysis using Bootstrap-Coupled Estimation
Version: 2023.9.12
Authors@R: c(
  person("Joses W.", "Ho", email = "joseshowh@gmail.com", role = "aut",
         comment = c(ORCID = "0000-0002-9186-6322")),
  person("Kah Seng", "Lian", email = "kahseng@u.nus.edu", role = c("aut")),
  person("Zhuoyu", "Wang", email = "wzhuoyu21@u.nus,edu", role = "aut"),
  person("Jun Yang", "Liao", email = "name@example.com", role = "aut"),
  person("Felicia", "Low", role = "aut", email = "lowminhuifelicia@gmail.com"),
  person("Tayfun", "Tumkaya", role = "aut",
         comment = c(ORCID = "0000-0001-8425-3360")),
  person("Yishan", "Mai", email = "maiyishan@u.duke.nus.edu", role = c("cre", "ctb"),
         comment = c(ORCID = "0000-0002-7199-380X")),
  person("Sangyu", "Xu", role = "ctb",
         comment = c(ORCID = "0000-0002-4927-9204")),
  person("Hyungwon", "Choi", role = "ctb",
         comment = c(ORCID = "0000-0002-6687-3088")),
  person("Adam", "Claridge-Chang", role = "ctb",
         comment = c(ORCID = "0000-0002-4583-3650")),
  person("ACCLAB", role = c("cph", "fnd")))
Description: Data Analysis using Bootstrap-Coupled ESTimation.
  Estimation statistics is a simple framework that avoids the pitfalls of
  significance testing. It uses familiar statistical concepts: means,
  mean differences, and error bars. More importantly, it focuses on the
  effect size of one's experiment/intervention, as opposed to a false
  dichotomy engendered by P values.
  An estimation plot has two key features:
  1. It presents all datapoints as a swarmplot, which orders each point to
  display the underlying distribution.
  2. It presents the effect size as a bootstrap 95% confidence interval on a
  separate but aligned axes.
  Estimation plots are introduced in Ho et al., Nature Methods 2019, 1548-7105.
  <doi:10.1038/s41592-019-0470-3>.
  The free-to-view PDF is located at <https://www.nature.com/articles/s41592-019-0470-3.epdf?author_access_token=Euy6APITxsYA3huBKOFBvNRgN0jAjWel9jnR3ZoTv0Pr6zJiJ3AA5aH4989gOJS_dajtNr1Wt17D0fh-t4GFcvqwMYN03qb8C33na_UrCUcGrt-Z0J9aPL6TPSbOxIC-pbHWKUDo2XsUOr3hQmlRew%3D%3D>.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://github.com/ACCLAB/dabestr,
        https://acclab.github.io/dabestr/
Depends: R (>= 2.10)
Imports: ggplot2, cowplot, tidyr, dplyr, tibble, rlang, magrittr,
        ggbeeswarm, effsize, grid, scales, ggsci, cli, boot, stats,
        stringr, brunnermunzel, methods
RoxygenNote: 7.2.3
Suggests: testthat (>= 3.0.0), vdiffr, knitr, rmarkdown, kableExtra
Config/testthat/edition: 3
LazyData: true
VignetteBuilder: knitr, kableExtra
NeedsCompilation: no
Packaged: 2023-10-12 03:07:07 UTC; liankahseng
Author: Joses W. Ho [aut] (<https://orcid.org/0000-0002-9186-6322>),
  Kah Seng Lian [aut],
  Zhuoyu Wang [aut],
  Jun Yang Liao [aut],
  Felicia Low [aut],
  Tayfun Tumkaya [aut] (<https://orcid.org/0000-0001-8425-3360>),
  Yishan Mai [cre, ctb] (<https://orcid.org/0000-0002-7199-380X>),
  Sangyu Xu [ctb] (<https://orcid.org/0000-0002-4927-9204>),
  Hyungwon Choi [ctb] (<https://orcid.org/0000-0002-6687-3088>),
  Adam Claridge-Chang [ctb] (<https://orcid.org/0000-0002-4583-3650>),
  ACCLAB [cph, fnd]
Maintainer: Yishan Mai <maiyishan@u.duke.nus.edu>
Repository: CRAN
Date/Publication: 2023-10-13 11:50:06 UTC
Built: R 4.2.3; ; 2024-04-24 02:36:14 UTC; windows
