diff --git a/R/partial.R b/R/partial.R
index ef7de27..a3687a9 100644
--- a/R/partial.R
+++ b/R/partial.R
@@ -39,7 +39,7 @@
 #' \strong{plotmo} package). If \code{TRUE}, then \code{partial()} will compute
 #' predictions across the predictors specified in \code{pred.var} while holding
 #' the other predictors constant (a "poor man's partial dependence" function as
-#' Stephen Milborrow, the author of \strong{plotmo} package), puts it).
+#' Stephen Milborrow, the author of \strong{plotmo}, puts it).
 #' Default is \code{FALSE}. Note this works with \code{ice = TRUE} as well.
 #' WARNING: This option is currently experimental. Use at your own risk. It is
 #' possible (and arguably safer) to do this manually by passing a specific
diff --git a/man/partial.Rd b/man/partial.Rd
index fda75f9..6ecf2a8 100644
--- a/man/partial.Rd
+++ b/man/partial.Rd
@@ -83,7 +83,7 @@ approximate, marginal effect plot (similar in spirit to the
 \strong{plotmo} package). If \code{TRUE}, then \code{partial()} will compute
 predictions across the predictors specified in \code{pred.var} while holding
 the other predictors constant (a "poor man's partial dependence" function as
-Stephen Milborrow, the author of \strong{plotmo} package), puts it).
+Stephen Milborrow, the author of \strong{plotmo}, puts it).
 Default is \code{FALSE}. Note this works with \code{ice = TRUE} as well.
 WARNING: This option is currently experimental. Use at your own risk. It is
 possible (and arguably safer) to do this manually by passing a specific