[2.0.0] CRAN submission

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: wallace
-Version: 1.9.4-6
-Date: 2022-09-28
+Version: 2.0.0
+Date: 2022-12-08
 Title: A Modular Platform for Reproducible Modeling of Species Niches 
     and Distributions
 Description: The 'shiny' application Wallace is a modular platform for 

README.md

@@ -1,6 +1,6 @@
 [![R-CMD-check](https://github.com/wallaceEcoMod/wallace/workflows/R-CMD-check/badge.svg)](https://github.com/wallaceEcoMod/wallace/actions) [![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0) [![CRAN version](http://www.r-pkg.org/badges/version/wallace)](https://CRAN.R-project.org/package=wallace) [![downloads](https://cranlogs.r-pkg.org:443/badges/grand-total/wallace?color=orange)](https://cranlogs.r-pkg.org:443/badges/grand-total/wallace?color=orange)
 
-# Wallace (v1.9.4-6)
+# Wallace (v2.0.0)
 
 *Wallace* is a modular platform for reproducible modeling of species niches and distributions, written in R. The application guides users through a complete analysis, from the acquisition of data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface.
 
@@ -27,7 +27,7 @@ run_wallace()
 Please make sure you have installed the latest versions of both R (<a href= "https://cran.r-project.org/bin/macosx/" target="_blank">Mac OS</a>, <a href= "https://cran.r-project.org/bin/windows/base/" target="_blank">Windows</a>) and RStudio (<a href= "https://posit.co/download/rstudio-desktop/" target="_blank">Mac OS /  Windows</a>: choose the free version).
 
 #### How to run Maxent with maxent.jar
-*Wallace* v1.9.4-6 includes two options to run Maxent models: maxnet and maxent.jar. The former, which is an R implementation and fits the model with the package `glmnet`, is now the default and does not require the package `rJava` (see Phillips et al. 2017). The latter, which is the Java implementation, runs the `maxent()` function in the package `dismo`. This function requires the user to place the `maxent.jar` file in the `/java` directory of the `dismo` package root folder. You can download Maxent <a href="https://biodiversityinformatics.amnh.org/open_source/maxent/" target="_blank">here</a>, and locate `maxent.jar`, which is the Maxent program itself, in the downloaded folder. You can find the directory path to `dismo/java` by running `system.file('java', package="dismo")` at the R console. Simply copy `maxent.jar` and paste it into this folder. If you try to run Maxent in *Wallace* without the file in place, you will get a warning message in the log window and Maxent will not run.
+*Wallace* v2.0.0 includes two options to run Maxent models: maxnet and maxent.jar. The former, which is an R implementation and fits the model with the package `glmnet`, is now the default and does not require the package `rJava` (see Phillips et al. 2017). The latter, which is the Java implementation, runs the `maxent()` function in the package `dismo`. This function requires the user to place the `maxent.jar` file in the `/java` directory of the `dismo` package root folder. You can download Maxent <a href="https://biodiversityinformatics.amnh.org/open_source/maxent/" target="_blank">here</a>, and locate `maxent.jar`, which is the Maxent program itself, in the downloaded folder. You can find the directory path to `dismo/java` by running `system.file('java', package="dismo")` at the R console. Simply copy `maxent.jar` and paste it into this folder. If you try to run Maxent in *Wallace* without the file in place, you will get a warning message in the log window and Maxent will not run.
 
 ### Potential Issues
 

inst/shiny/Rmd/text_intro_tab.Rmd

@@ -5,7 +5,7 @@ output: html_document
 
 #### WORKFLOW
 
-*Wallace* (v1.9.4-6) currently includes ten components, or steps of a possible workflow. Each component includes two or more modules, which are possible analyses for that step.  
+*Wallace* (v2.0.0) currently includes ten components, or steps of a possible workflow. Each component includes two or more modules, which are possible analyses for that step.  
 
 **Components:**  
 

inst/shiny/Rmd/userReport_intro.Rmd

@@ -10,7 +10,7 @@ knit_engines$set(asis = function(options) {
 knitr::opts_chunk$set(message = FALSE, warning = FALSE, eval = FALSE)
 ```
 
-Please find below the R code history from your *Wallace* v1.9.4-6 session. 
+Please find below the R code history from your *Wallace* v2.0.0 session. 
 
 You can reproduce your session results by running this R Markdown file in RStudio.