prepare to release

Author: certara-smouksassi

NEWS.md

@@ -1,7 +1,6 @@
 # coveffectsplot 1.0.1
 * cran fix for url not available wtage is now a dataset that ships with the package
 
-
 # coveffectsplot 1.0.0
 * bumped the version to 1.0 to correspond with the PSP tutorial paper (under review)
 * shinymeta on CRAN! Added back code generation in the app (contributed by Dean Attali)

README.md

@@ -39,7 +39,7 @@ The example data show where does 90 and 50% of the patients will be based on the
 
 ![data example](./inst/shiny/img/snapshottable.png)
 
-The vignette [Introduction to coveffectsplot](https://cran.r-project.org/package=coveffectsplot/vignettes/Introduction_to_coveffectsplot.html) will walk you through the background and  how to compute and build the required data that the shiny app or the function `forest_plot`expects. There is some data management steps that the app does automatically. Choosing to call the function will require you to build the table LABEL and to control the ordering of the variables. The `forest_plot` help has several examples.  
+The vignette [Introduction to coveffectsplot](https://cran.r-project.org/package=coveffectsplot/vignettes/introduction_to_coveffectsplot.html) will walk you through the background and  how to compute and build the required data that the shiny app or the function `forest_plot`expects. There is some data management steps that the app does automatically. Choosing to call the function will require you to build the table LABEL and to control the ordering of the variables. The `forest_plot` help has several examples.  
 The package also include vignettes with several step-by-step detailed examples:  
 
 <a href="https://cran.r-project.org/package=coveffectsplot/vignettes/PK_Example.html">PK example</a>  

cran-comments.md

@@ -1,14 +1,15 @@
 ## Test environments
-* local Windows 10 install, R  4.1.2
-* ubuntu 20.04 LTS (on github actions), R  4.1.2
+* local Windows 10 install, R 4.1.3
+* ubuntu 20.04 LTS (on github actions), R  4.1.3
 * win-builder (devel and release)
 
 ## R CMD check results
 
 0 errors | 0 warnings | 0 note
 
-* This is to add few arguments to the package main function and associated shiny app
+* This is a hotfix to prevent being removed from cran and it fixes a failure to retrieve data from CDC via url by including the data in the package
 * some Notes regarding packages not used are false positives since these are used in the shiny app code and are required for it.
+* all listed package dependencies are required for the shinyapp included in the package to work properly
 
 ## Reverse dependencies
 

vignettes/Pediatric_Cov_Sim.Rmd

@@ -187,7 +187,7 @@ p4
 ```
 
 ## Simulating Age/Weight Pairs Using NHANES LMS Values
-The NHANES website provides a csv file containing the smoothed growth charts distribution parameters at specific ages for boys and girls. The `gamlss.dist::rBCCG` function is used to show how we can use these parameters to generate a realistic pediatric Age/Weight/Sex distribution. Wehe dataset is now part of the package.
+The NHANES website provides a csv file containing the smoothed growth charts distribution parameters at specific ages for boys and girls. The `gamlss.dist::rBCCG` function is used to show how we can use these parameters to generate a realistic pediatric Age/Weight/Sex distribution. The dataset wtage is now part of the package.
 
 ```{r simcovariate, collapse=TRUE }
 #wtage <- read.csv (url("https://www.cdc.gov/growthcharts/data/zscore/wtage.csv"))