Fixed mismatched brace in doc for HaldDP.

R/interface.R

@@ -74,7 +74,7 @@
 #'   are appended to any previous iterations, or overwrites them. When
 #'   \code{append = TRUE}, the starting values are the last iteration and no
 #'   \code{burn_in} is removed. Running the model for the first time, or changing any
-#'   model or fitting parameters will set \code{append = FALSE}.
+#'   model or fitting parameters will set \code{append = FALSE}. }
 #'
 #'   \item{\code{print_data}}{returns a list containing the human data \code{y}
 #'   (an array y[types, times, locations]), the source data \code{X} (an array X[types, sources, times]),
@@ -124,7 +124,7 @@
 #'   are \code{"percentiles"} and \code{"spin"}).
 #'   See \code{extract} for details on the subsetting. \code{lambda_j_prop} returns the
 #'   proportion of cases attributed to each source \code{j} and is calculated by dividing
-#'   each iteration of \code{lambda_{jtl}} values by their sum within each time \code{t} and location \code{l}.}.}
+#'   each iteration of \code{lambda_{jtl}} values by their sum within each time \code{t} and location \code{l}.}
 #'
 #'   \item{\code{plot_heatmap(iters, cols = c("blue","white"), hclust_method = "complete")}}{
 #'   Creates a dendrogram and heatmap for the type effect groupings (\code{s} parameter in the model).

man/HaldDP.Rd

@@ -73,7 +73,7 @@ Runs the HaldDP source attribution model
   are appended to any previous iterations, or overwrites them. When
   \code{append = TRUE}, the starting values are the last iteration and no
   \code{burn_in} is removed. Running the model for the first time, or changing any
-  model or fitting parameters will set \code{append = FALSE}.
+  model or fitting parameters will set \code{append = FALSE}. }
 
   \item{\code{print_data}}{returns a list containing the human data \code{y}
   (an array y[types, times, locations]), the source data \code{X} (an array X[types, sources, times]),
@@ -123,7 +123,7 @@ Runs the HaldDP source attribution model
   are \code{"percentiles"} and \code{"spin"}).
   See \code{extract} for details on the subsetting. \code{lambda_j_prop} returns the
   proportion of cases attributed to each source \code{j} and is calculated by dividing
-  each iteration of \code{lambda_{jtl}} values by their sum within each time \code{t} and location \code{l}.}.}
+  each iteration of \code{lambda_{jtl}} values by their sum within each time \code{t} and location \code{l}.}
 
   \item{\code{plot_heatmap(iters, cols = c("blue","white"), hclust_method = "complete")}}{
   Creates a dendrogram and heatmap for the type effect groupings (\code{s} parameter in the model).