diff --git a/R/cluster.R b/R/cluster.R
index 00ad1b8..ad7d54a 100644
--- a/R/cluster.R
+++ b/R/cluster.R
@@ -1,7 +1,7 @@
 #' Read distance matrices
 #'
 #' Read in distances from a file that is formatted with three columns for the
-#' row, column, and distance of a sparse, square matrix or in a Phylip-formatted
+#' row, column, and distance of a sparse, square matrix or in a phylip-formatted
 #' distance matrix.
 #'
 #' @export
@@ -54,7 +54,7 @@ read_dist <- function(distance_file, count_table,
 }
 
 
-#' Cluster entitites together
+#' Cluster entities together
 #'
 #' Clusters entities represented in a distance matrix and count table using
 #' one of several algorithms and outputs information about the composition and
@@ -201,7 +201,7 @@ read_count <- function(count_table_path) {
 
 #' Create Sparse Matrix
 #'
-#' Given a list of i indexs, j indexes, and distances values,
+#' Given a list of i indexes, j indexes, and distances values,
 #' we can create a sparse distance matrix for you. Each vector
 #' must have the same size.
 #' @param i_index A list of i indexes, must be numeric
diff --git a/R/cluster_object-getters.R b/R/cluster_object-getters.R
index f01d285..fb91b0b 100644
--- a/R/cluster_object-getters.R
+++ b/R/cluster_object-getters.R
@@ -54,7 +54,7 @@ get_bins <- function(cluster_data) {
 #'
 #' @export
 #' @description
-#' GetShared retuns the generated abundance `data.frame`
+#' GetShared returns the generated abundance `data.frame`
 #' from the `cluster()` function
 #' @param cluster_data The output from the `cluster()` function.
 #' @examples
diff --git a/README.Rmd b/README.Rmd
index 3b6292f..8a4cd52 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -61,6 +61,6 @@ To get started, look at the ["Getting started"](https://www.schlosslab.org/clust
 
 ## Contributions
 
-For feature request please visit the issue page in github and use the feature
+For feature request please visit the issue page in GitHub and use the feature
 tag. If you would like to contribute pull request are welcomed!
 
diff --git a/README.md b/README.md
index 7a77d92..9577de8 100644
--- a/README.md
+++ b/README.md
@@ -48,5 +48,5 @@ started”](https://www.schlosslab.org/clustur/) page.
 
 ## Contributions
 
-For feature request please visit the issue page in github and use the
+For feature request please visit the issue page in GitHub and use the
 feature tag. If you would like to contribute pull request are welcomed!
diff --git a/cran-comments.md b/cran-comments.md
index 858617d..b28a985 100644
--- a/cran-comments.md
+++ b/cran-comments.md
@@ -3,3 +3,5 @@
 0 errors | 0 warnings | 1 note
 
 * This is a new release.
+* All of our projects use C++ 11 so we can continue to support older architectures. 
+* Build checks for macos-latest (devel), ubuntu-lastest (devel), windows-latest (devel), windows latest (4.1), ubuntu-latest (release), ubuntu-latest (oldrel-1), ubuntu-latest (oldrel-2), and ubuntu-latest (oldrel-3) are currently passing via GitHub Actions.
diff --git a/man/cluster.Rd b/man/cluster.Rd
index 01297c3..9a0f0a0 100644
--- a/man/cluster.Rd
+++ b/man/cluster.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/cluster.R
 \name{cluster}
 \alias{cluster}
-\title{Cluster entitites together}
+\title{Cluster entities together}
 \usage{
 cluster(
   distance_object,
diff --git a/man/clustur-package.Rd b/man/clustur-package.Rd
index a3074d1..d4c0e10 100644
--- a/man/clustur-package.Rd
+++ b/man/clustur-package.Rd
@@ -23,6 +23,7 @@ Useful links:
 Authors:
 \itemize{
   \item Gregory Johnson \email{grejoh@umich.edu} (\href{https://orcid.org/0009-0008-3890-0297}{ORCID})
+  \item Sarah Westcott \email{swestcot@umich.edu}
 }
 
 }
diff --git a/man/create_sparse_matrix.Rd b/man/create_sparse_matrix.Rd
index abe7b4a..950cf77 100644
--- a/man/create_sparse_matrix.Rd
+++ b/man/create_sparse_matrix.Rd
@@ -17,7 +17,7 @@ create_sparse_matrix(i_index, j_index, distances)
 a `dgTMatrix` from the `Matrix` library.
 }
 \description{
-Given a list of i indexs, j indexes, and distances values,
+Given a list of i indexes, j indexes, and distances values,
 we can create a sparse distance matrix for you. Each vector
 must have the same size.
 }
diff --git a/man/get_abundance.Rd b/man/get_abundance.Rd
index 0c45649..6be7f65 100644
--- a/man/get_abundance.Rd
+++ b/man/get_abundance.Rd
@@ -13,7 +13,7 @@ get_abundance(cluster_data)
 a shared data.frame
 }
 \description{
-GetShared retuns the generated abundance `data.frame`
+GetShared returns the generated abundance `data.frame`
 from the `cluster()` function
 }
 \examples{
diff --git a/man/read_dist.Rd b/man/read_dist.Rd
index 5de48ce..5701f95 100644
--- a/man/read_dist.Rd
+++ b/man/read_dist.Rd
@@ -25,7 +25,7 @@ distance information. Can be accessed using `get_distance_df()`
 }
 \description{
 Read in distances from a file that is formatted with three columns for the
-row, column, and distance of a sparse, square matrix or in a Phylip-formatted
+row, column, and distance of a sparse, square matrix or in a phylip-formatted
 distance matrix.
 }
 \examples{
diff --git a/vignettes/clustur.Rmd b/vignettes/clustur.Rmd
index e2818d8..7ebd647 100644
--- a/vignettes/clustur.Rmd
+++ b/vignettes/clustur.Rmd
@@ -18,7 +18,7 @@ knitr::opts_chunk$set(
 ## Background
 clustur was developed to be similar to [mothur's cluster
 function](https://mothur.org/wiki/cluster/) that was written in C++. In order to
-cluster your data, users need to provide their own sparse or Phylip-formatted
+cluster your data, users need to provide their own sparse or phylip-formatted
 distance matrix. They also need to provide a count table that either comes from
 mothur or that they create in R. Once these objects are built users can call the
 `cluster()` function. We currently support 5 methods: opticlust (default) and