ANOPA v0.1.3, stie

CRAN-SUBMISSION

@@ -1,3 +1,3 @@
-Version: 0.1.1
-Date: 2024-03-17 15:43:03 UTC
-SHA: 9a206f2a9ff955f70ea189c54e8ca75cce6d2165
+Version: 0.1.3
+Date: 2024-03-19 22:15:25 UTC
+SHA: ac53156e8aec07bdf7bf4c543d500f2d9648606c

DESCRIPTION

@@ -2,7 +2,7 @@ Package: ANOPA
 Type: Package
 Title: Analyses of Proportions using Anscombe Transform
 Version: 0.1.3
-Date: 2024-03-19
+Date: 2024-03-21
 Authors@R: c(
              person("Denis", "Cousineau", email = "[email protected]",
                     role = c("aut", "ctb", "cre")),
@@ -16,16 +16,16 @@ 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 
+    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 
+    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  
+    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

docs/pkgdown.yml

@@ -8,7 +8,7 @@ articles:
   D-ArringtonExample: D-ArringtonExample.html
   E-ArcsineIsAsinine: E-ArcsineIsAsinine.html
   F-TestingTypeIError: F-TestingTypeIError.html
-last_built: 2024-03-19T21:22Z
+last_built: 2024-03-21T17:08Z
 urls:
   reference: https://dcousin3.github.io/ANOPA/reference
   article: https://dcousin3.github.io/ANOPA/articles