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swh:1:snp:2c68a6c5a8af2f06ac2c0225927f25b54fd1f9d0
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  • 0e42ceb
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  • DESCRIPTION
Raw File Download

To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

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swh:1:cnt:957329ccbef78cb76c9ba2d6ccc58820670b8db8
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swh:1:dir:0e42ceb80053d5c9e548ca5f05235328c843bfcc
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swh:1:rev:428249f43a9c6fd0c425b28deb5fee51a9525d69
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swh:1:snp:2c68a6c5a8af2f06ac2c0225927f25b54fd1f9d0

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

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(requires biblatex-software package)
Generating citation ...
(requires biblatex-software package)
Generating citation ...
(requires biblatex-software package)
Generating citation ...
(requires biblatex-software package)
Generating citation ...
Tip revision: 428249f43a9c6fd0c425b28deb5fee51a9525d69 authored by Dominique Makowski on 18 September 2022, 01:46:03 UTC
version 0.13.0
Tip revision: 428249f
DESCRIPTION
Type: Package
Package: bayestestR
Title: Understand and Describe Bayesian Models and Posterior
        Distributions
Version: 0.13.0
Authors@R: 
    c(person(given = "Dominique",
             family = "Makowski",
             role = c("aut", "cre"),
             email = "dom.makowski@gmail.com",
             comment = c(ORCID = "0000-0001-5375-9967", Twitter = "@Dom_Makowski")),
      person(given = "Daniel",
             family = "Lüdecke",
             role = "aut",
             email = "d.luedecke@uke.de",
             comment = c(ORCID = "0000-0002-8895-3206", Twitter = "@strengejacke")),
      person(given = "Mattan S.",
             family = "Ben-Shachar",
             role = "aut",
             email = "matanshm@post.bgu.ac.il",
             comment = c(ORCID = "0000-0002-4287-4801", Twitter = "@mattansb")),
      person(given = "Indrajeet",
             family = "Patil",
             role = "aut",
             email = "patilindrajeet.science@gmail.com",
             comment = c(ORCID = "0000-0003-1995-6531", Twitter = "@patilindrajeets")),
      person(given = "Michael D.",
             family = "Wilson",
             role = "aut",
             email = "michael.d.wilson@curtin.edu.au",
             comment = c(ORCID = "0000-0003-4143-7308")),
      person(given = "Brenton M.",
             family = "Wiernik",
             role = "aut",
             email = "brenton@wiernik.org",
             comment = c(ORCID = "0000-0001-9560-6336", Twitter = "@bmwiernik")),
      person(given = "Paul-Christian",
             family = "Bürkner",
             role = "rev",
             email = "paul.buerkner@gmail.com"),
      person(given = "Tristan",
             family = "Mahr",
             role = "rev",
             email = "tristan.mahr@wisc.edu",
             comment = c(ORCID = "0000-0002-8890-5116")),
      person(given = "Henrik",
             family = "Singmann",
             role = "ctb",
             email = "singmann@gmail.com",
             comment = c(ORCID = "0000-0002-4842-3657")),
      person(given = "Quentin F.",
             family = "Gronau",
             role = "ctb",
             comment = c(ORCID = "0000-0001-5510-6943")),
      person(given = "Sam",
             family = "Crawley",
             role = "ctb",
             email = "sam@crawley.nz",
             comment = c(ORCID = "0000-0002-7847-0411")))
Maintainer: Dominique Makowski <dom.makowski@gmail.com>
Description: Provides utilities to describe posterior
    distributions and Bayesian models. It includes point-estimates such as
    Maximum A Posteriori (MAP), measures of dispersion (Highest Density
    Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and
    indices used for null-hypothesis testing (such as ROPE percentage, pd
    and Bayes factors).
Depends: R (>= 3.6)
Imports: insight (>= 0.18.2), datawizard (>= 0.5.1), graphics, methods,
        stats, utils
Suggests: BayesFactor, bayesQR, bayesplot, BH, blavaan, bridgesampling,
        brms, effectsize, emmeans, gamm4, ggdist, ggplot2, glmmTMB,
        httr, KernSmooth, knitr, lavaan, lme4, logspline, MASS, mclust,
        mediation, modelbased, parameters, patchwork, performance,
        quadprog, posterior, RcppEigen, rmarkdown, rstan, rstanarm,
        see, testthat, tweedie
License: GPL-3
URL: https://easystats.github.io/bayestestR/
BugReports: https://github.com/easystats/bayestestR/issues
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.2.1
Config/testthat/edition: 3
Config/Needs/website: rstudio/bslib, r-lib/pkgdown,
        easystats/easystatstemplate
NeedsCompilation: no
Packaged: 2022-09-18 00:42:48 UTC; domma
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>,
    @Dom_Makowski),
  Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>,
    @strengejacke),
  Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>,
    @mattansb),
  Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>,
    @patilindrajeets),
  Michael D. Wilson [aut] (<https://orcid.org/0000-0003-4143-7308>),
  Brenton M. Wiernik [aut] (<https://orcid.org/0000-0001-9560-6336>,
    @bmwiernik),
  Paul-Christian Bürkner [rev],
  Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>),
  Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>),
  Quentin F. Gronau [ctb] (<https://orcid.org/0000-0001-5510-6943>),
  Sam Crawley [ctb] (<https://orcid.org/0000-0002-7847-0411>)
Repository: CRAN
Date/Publication: 2022-09-18 02:46:03 UTC

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