issue #2

DESCRIPTION

@@ -1,43 +1,44 @@
-Type: Package
-Package: BioGA
-Title: Bioinformatics Genetic Algorithm (BioGA)
-Version: 0.99.6
-Authors@R: 
-    person("Dany", "Mukesha", , "[email protected]", 
-            role = c("aut", "cre"),
-           comment = c(ORCID = "0009-0001-9514-751X"))
-Description: Genetic algorithm are a class of optimization algorithms
-    inspired by the process of natural selection and genetics. This
-    package allows users to analyze and optimize high throughput genomic
-    data using genetic algorithms.  The functions provided are implemented
-    in C++ for improved speed and efficiency, with an easy-to-use
-    interface for use within R.
-License: MIT + file LICENSE
-URL: https://danymukesha.github.io/BioGA/
-BugReports: https://github.com/danymukesha/BioGA/issues
-Imports:
-    ggplot2,
-    graphics,
-    Rcpp,
-    SummarizedExperiment,
-    animation,
-    rlang,
-    biocViews,
-    sessioninfo,
-    BiocStyle
-Depends: 
-    R (>= 4.4)
-Suggests: 
-    knitr,
-    rmarkdown,
-    testthat (>= 3.0.0)
-LinkingTo: 
-    Rcpp
-VignetteBuilder: 
-    knitr
-biocViews: ExperimentalDesign, Technology
-Encoding: UTF-8
-LazyData: false
-Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.3.1
-Config/testthat/edition: 3
+Type: Package
+Package: BioGA
+Title: Bioinformatics Genetic Algorithm (BioGA)
+Version: 0.99.6
+Authors@R: 
+    person("Dany", "Mukesha", , "[email protected]", 
+            role = c("aut", "cre"),
+           comment = c(ORCID = "0009-0001-9514-751X"))
+Description: Genetic algorithm are a class of optimization algorithms
+    inspired by the process of natural selection and genetics. This
+    package allows users to analyze and optimize high throughput genomic
+    data using genetic algorithms.  The functions provided are implemented
+    in C++ for improved speed and efficiency, with an easy-to-use
+    interface for use within R.
+License: MIT + file LICENSE
+URL: https://danymukesha.github.io/BioGA/,
+    https://bioconductor.org/packages/BioGA/
+BugReports: https://github.com/danymukesha/BioGA/issues
+Imports:
+    ggplot2,
+    graphics,
+    Rcpp,
+    SummarizedExperiment,
+    animation,
+    rlang,
+    biocViews,
+    sessioninfo,
+    BiocStyle
+Depends: 
+    R (>= 4.4)
+Suggests: 
+    knitr,
+    rmarkdown,
+    testthat (>= 3.0.0)
+LinkingTo: 
+    Rcpp
+VignetteBuilder: 
+    knitr
+biocViews: ExperimentalDesign, Technology
+Encoding: UTF-8
+LazyData: false
+Roxygen: list(markdown = TRUE)
+RoxygenNote: 7.3.2
+Config/testthat/edition: 3

README.Rmd

@@ -15,6 +15,7 @@ knitr::opts_chunk$set(
 
 <!-- badges: start -->
   [![R-CMD-check](https://github.com/danymukesha/BioGA/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/danymukesha/BioGA/actions/workflows/R-CMD-check.yaml)
+  [![](https://img.shields.io/badge/devel%20version-0.99.6-blue.svg)](https://github.com/danymukesha/BioGA)
   <!-- badges: end -->
 
 # BioGA <a href="https://danymukesha.github.io/BioGA/"><img src="man/figures/logo.png" align="right" height="139" alt="BioGA website" /></a>
@@ -28,7 +29,7 @@ with an easy-to-use interface for use within R.
 
 You can install the package directly from GitHub using the `devtools` package:
 
-```{r}
+```{r eval=FALSE}
 devtools::install_github("danymukesha/BioGA")
 ```