update urls

DESCRIPTION

@@ -7,7 +7,7 @@ Description: These functions take a character vector as input, identify and
   become identical. The functions are an implementation of the key collision 
   and ngram fingerprint algorithms from the open source tool Open Refine 
   <https://openrefine.org/>. More info on key collision and ngram fingerprint 
-  can be found here <https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth>.
+  can be found here <https://docs.openrefine.org/next/technical-reference/clustering-in-depth/>.
 Depends: R (>= 3.0.2)
 License: GPL-3
 Encoding: UTF-8

R/key_collision_merge.R

@@ -3,7 +3,7 @@
 #' This function takes a character vector and makes edits and merges values
 #' that are approximately equivalent yet not identical. It clusters values
 #' based on the key collision method, described here
-#' \url{https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth}.
+#' \url{https://docs.openrefine.org/next/technical-reference/clustering-in-depth/}.
 #'
 #' @param vect Character vector, items to be potentially clustered and merged.
 #' @param ignore_strings Character vector, these strings will be ignored during

R/n_gram_merge.R

@@ -3,7 +3,7 @@
 #' This function takes a character vector and makes edits and merges values
 #' that are approximately equivalent yet not identical. It uses a two step
 #' process, the first is clustering values based on their ngram fingerprint (described here
-#' \url{https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth}).
+#' \url{https://docs.openrefine.org/next/technical-reference/clustering-in-depth/}).
 #' The second step is merging values based on approximate string matching of
 #' the ngram fingerprints, using the [sd_lower_tri()] C function from the
 #' package \code{stringdist}.

R/refinr.R

@@ -9,7 +9,7 @@
 #'
 #' \itemize{
 #'   \item Open Refine Site \url{https://openrefine.org/}
-#'   \item Details on Open Refine clustering algorithms \url{https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth}
+#'   \item Details on Open Refine clustering algorithms \url{https://docs.openrefine.org/next/technical-reference/clustering-in-depth/}
 #' }
 #'
 #' @section Development links:

README.md

@@ -7,7 +7,7 @@ refinr
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/refinr)](https://cran.r-project.org/package=refinr)
 
 
-refinr is designed to cluster and merge similar values within a character vector. It features two functions that are implementations of clustering algorithms from the open source software [OpenRefine](https://openrefine.org/). The cluster methods used are key collision and ngram fingerprint (more info on these [here](https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth)).
+refinr is designed to cluster and merge similar values within a character vector. It features two functions that are implementations of clustering algorithms from the open source software [OpenRefine](https://openrefine.org/). The cluster methods used are key collision and ngram fingerprint (more info on these [here](https://docs.openrefine.org/next/technical-reference/clustering-in-depth/)).
 
 In addition, there are a few add-on features included, to make the clustering/merging functions more useful. These include approximate string matching to allow for merging despite minor mispellings, the option to pass a dictionary vector to dictate edit values, and the option to pass a vector of strings to ignore during the clustering process.