drop dev-version-only warnings for Error()

README.Rmd

@@ -15,8 +15,7 @@ based on the ART procedure as used in the original implementation of
 The package automates the Aligning-and-Ranking process using the `art` function.
 It also automates the process of running a series of ANOVAs on the transformed
 data and extracting the results of interest. It supports traditional ANOVA
-models (fit using `lm`), repeated measures ANOVAs (fit using `aov`, __currently
-only supported in the dev version__), and 
+models (fit using `lm`), repeated measures ANOVAs (fit using `aov`), and 
 mixed effects models (fit using `lmer`); the model used is determined by the
 formula passed to `art`.
 
@@ -42,11 +41,6 @@ install.packages("devtools")
 devtools::install_github("mjskay/ARTool")
 ```
 
-__Note:__ _If you plan to use repeated measures ANOVAs (the `Error()` syntax) instead of
-mixed effects (the `(...|...)` syntax), you must install the development version
-from GitHub, as the current release of ARTool on CRAN does not support the `Error()` 
-syntax._
-
 ## Example
 
 The general approach to using ART is to transform your data using `art` , verify
@@ -127,10 +121,6 @@ m <- art(DryMatter ~ Moisture*Fertilizer + Error(Tray), data=Higgins1990Table5)
 anova(m)
 ```
 
-__Note:__ _If you plan to use repeated measures ANOVAs instead of mixed effects, 
-you must install the development version from GitHub, as the current release 
-of ARTool on CRAN does not support the `Error()` syntax. See [Installation](#installation)_
-
 ## Contrast tests
 
 For an example of how to run contrast tests on an `art` model, see this vignette:

README.md

@@ -15,8 +15,7 @@ based on the ART procedure as used in the original implementation of
 The package automates the Aligning-and-Ranking process using the `art` function.
 It also automates the process of running a series of ANOVAs on the transformed
 data and extracting the results of interest. It supports traditional ANOVA
-models (fit using `lm`), repeated measures ANOVAs (fit using `aov`, __currently
-only supported in the dev version__), and 
+models (fit using `lm`), repeated measures ANOVAs (fit using `aov`), and 
 mixed effects models (fit using `lmer`); the model used is determined by the
 formula passed to `art`.
 
@@ -44,11 +43,6 @@ install.packages("devtools")
 devtools::install_github("mjskay/ARTool")
 ```
 
-__Note:__ _If you plan to use repeated measures ANOVAs (the `Error()` syntax) instead of
-mixed effects (the `(...|...)` syntax), you must install the development version
-from GitHub, as the current release of ARTool on CRAN does not support the `Error()` 
-syntax._
-
 ## Example
 
 The general approach to using ART is to transform your data using `art` , verify
@@ -204,10 +198,6 @@ anova(m)
 ## Signif. codes:   0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
 ```
 
-__Note:__ _If you plan to use repeated measures ANOVAs instead of mixed effects, 
-you must install the development version from GitHub, as the current release 
-of ARTool on CRAN does not support the `Error()` syntax. See [Installation](#installation)_
-
 ## Contrast tests
 
 For an example of how to run contrast tests on an `art` model, see this vignette:
@@ -229,7 +219,7 @@ reproduce the issue.
 ## Citations
 
 Kay M and Wobbrock J (2014). _ARTool: Aligned Rank Transform for
-Nonparametric Factorial ANOVAs_. R package version 0.9.5, <https://github.com/mjskay/ARTool>.
+Nonparametric Factorial ANOVAs_. R package version 0.10.0, <https://github.com/mjskay/ARTool>.
 
 Wobbrock J, Findlater L, Gergle D and Higgins J (2011). "The Aligned
 Rank Transform for Nonparametric Factorial Analyses Using Only ANOVA