ANOPA v0.1.1

.Rbuildignore

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+^.git$
+^doc$
+^docs$
+^Meta$
+^cran-comments.md
+^CRAN-RELEASE$
+^pkgdown$
+^_pkgdown\.yml$
+^README\.Rmd$
+^README_files$
+^logo.png$
+^revdep$
+^CRAN-SUBMISSION$

.gitignore

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+doc
+Meta
+/doc/
+/Meta/
+CRAN-SUBMISSON
+cran-comments.md
+CRAN-RELEASE

DESCRIPTION

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+Package: ANOPA
+Type: Package
+Title: Analyses of Proportions using Anscombe Transform
+Version: 0.1.1
+Date: 2024-03-20
+Authors@R: c(
+             person("Denis", "Cousineau", email = "[email protected]",
+                    role = c("aut", "ctb", "cre")),
+             person("Louis", "Laurencelle", email = "[email protected]",
+                    role = c("aut", "ctb"))
+           )
+Author: Denis Cousineau [aut, cre],
+		Louis Laurencelle [aut, ctb]
+Maintainer: Denis Cousineau <[email protected]>
+BugReports: https://github.com/dcousin3/ANOPA/issues/
+URL: https://dcousin3.github.io/ANOPA/
+Description: 
+    Analyses of Proportions can be performed on the Anscombe (arcsine-related) transformed  
+    data. The ANOPA package can analyze proportions obtained from up to 
+    four factors. The factors can be within-subject or between-subject or a mix 
+    of within- and between-subject. The main, omnibus analysis can be followed by
+    additive decompositions into interaction effects, main effects, simple 
+    effects, contrast effects, etc., mimicking precisely the logic of ANOVA. For
+    that reason, we call this set of tools 'ANOPA' (Analysis of Proportion
+    using Anscombe transform) to highlight its similarities with ANOVA. 
+    The ANOPA framework also allows plots of proportions easy to obtain 
+    along with confidence intervals. Finally, effect sizes and planning statistical 
+    power are easily done under this framework. Only particularity, the ANOPA computes  
+    F statistics which have an infinite degree of freedom on the denominator. 
+    See Laurencelle and Cousineau (2023) <doi:10.3389/fpsyg.2022.1045436>.
+License: GPL-3
+Encoding: UTF-8
+VignetteBuilder: knitr
+LazyData: true
+RoxygenNote: 7.3.1
+Depends:
+    R (>= 3.5.0)
+Imports: 
+    superb (>= 0.95.0),
+    Rdpack (>= 0.7),
+    ggplot2 (>= 3.1.0),
+	scales (>= 1.2.1),
+    stats,
+    rrapply,
+    utils,
+	plyr (>= 1.8.4)
+Suggests: 
+    rmarkdown,
+    testthat,
+    knitr
+RdMacros: Rdpack

NAMESPACE

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+# Generated by roxygen2: do not edit by hand
+
+S3method(corrected,ANOPAobject)
+S3method(corrected,default)
+S3method(explain,ANOPAobject)
+S3method(explain,default)
+S3method(print,ANOPAobject)
+S3method(print,ANOPAtable)
+S3method(summarize,ANOPAobject)
+S3method(summarize,default)
+S3method(summary,ANOPAobject)
+S3method(uncorrected,ANOPAobject)
+S3method(uncorrected,default)
+export(A)
+export(Atrans)
+export(CI.Atrans)
+export(CI.prop)
+export(GRP)
+export(SE.Atrans)
+export(anopa)
+export(anopaN2Power)
+export(anopaPlot)
+export(anopaPower2N)
+export(anopaProp2fsq)
+export(contrastProportions)
+export(corrected)
+export(emProportions)
+export(explain)
+export(posthocProportions)
+export(prop)
+export(rBernoulli)
+export(summarize)
+export(toCompiled)
+export(toLong)
+export(toWide)
+export(uncorrected)
+export(unitaryAlpha)
+export(var.Atrans)
+export(varA)
+importFrom(Rdpack,reprompt)
+importFrom(stats,aggregate)
+importFrom(stats,as.formula)
+importFrom(stats,optimize)
+importFrom(stats,pchisq)
+importFrom(stats,qchisq)
+importFrom(stats,reshape)
+importFrom(stats,runif)
+importFrom(stats,var)
+importFrom(superb,GRD)
+importFrom(utils,capture.output)
+importFrom(utils,combn)

NEWS.md

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+# ANOPA 0.1.1 (March 2023)
+
+* Beta release of ANOPA on CRAN
+
+# ANOPA 0.1.0 (January 2023)
+
+* Beta release of ANOPA on GitHub
+