Package: dabestr
Type: Package
Title: Data Analysis using Bootstrap-Coupled Estimation
Version: 0.2.4
Authors@R: c(
    person("Joses W.", "Ho", 
          email = "joseshowh@gmail.com", role = c("cre", "aut")),
    person("Tayfun", "Tumkaya",
          role = c("aut"))
          )
Maintainer: Joses W. Ho <joseshowh@gmail.com>
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://rdcu.be/bHhJ4>.
License: file LICENSE
URL: https://github.com/ACCLAB/dabestr
BugReports: https://github.com/ACCLAB/dabestr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), boot, magrittr
Imports: cowplot, dplyr, ellipsis, ggplot2 (>= 3.2), forcats, ggforce,
        ggbeeswarm, plyr, rlang, simpleboot, stringr, tibble, tidyr
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown, tufte, testthat, vdiffr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-21 06:01:38 UTC; jacuzzijo
Author: Joses W. Ho [cre, aut],
  Tayfun Tumkaya [aut]
Repository: CRAN
Date/Publication: 2020-03-21 19:00:22 UTC
Built: R 4.0.0; ; 2020-04-10 11:26:03 UTC; windows
