Small documentation fixes

R/DESCRIPTION

@@ -10,3 +10,4 @@ Author: Ben Hamner <[email protected]>
 License: BSD
 Collate:
     'metrics.r'
+RoxygenNote: 5.0.1

R/NAMESPACE

@@ -1,20 +1,22 @@
+# Generated by roxygen2: do not edit by hand
+
+export(MeanQuadraticWeightedKappa)
+export(ScoreQuadraticWeightedKappa)
 export(ae)
 export(apk)
 export(auc)
 export(ce)
+export(f1)
 export(ll)
 export(logLoss)
 export(mae)
 export(mapk)
-export(MeanQuadraticWeightedKappa)
 export(mse)
 export(msle)
+export(rae)
 export(rmse)
 export(rmsle)
-export(ScoreQuadraticWeightedKappa)
+export(rrse)
+export(rse)
 export(se)
 export(sle)
-export(rse)
-export(rrse)
-export(rae)
-export(f1)

R/R/metrics.r

@@ -8,7 +8,7 @@
 #' @export
 se <- function (actual, predicted) (actual-predicted)^2
 
-#' Compute the mean squared error#'
+#' Compute the mean squared error
 #' This function computes the mean squared error between
 #' two vectors
 #'
@@ -17,7 +17,7 @@ se <- function (actual, predicted) (actual-predicted)^2
 #' @export
 mse <- function (actual, predicted) mean(se(actual, predicted))
 
-#' Compute the root mean squared error#'
+#' Compute the root mean squared error
 #' This function computes the root mean squared error
 #' between two vectors
 #'
@@ -26,7 +26,7 @@ mse <- function (actual, predicted) mean(se(actual, predicted))
 #' @export
 rmse <- function (actual, predicted) sqrt(mse(actual, predicted))
 
-#' Compute the absolute error#'
+#' Compute the absolute error
 #' This function computes the elementwise absolute error for a
 #' number or a vector
 #'
@@ -35,7 +35,7 @@ rmse <- function (actual, predicted) sqrt(mse(actual, predicted))
 #' @export
 ae <- function (actual, predicted) abs(actual-predicted)
 
-#' Compute the mean absolute error#'
+#' Compute the mean absolute error
 #' This function computes the mean absolte error between
 #' two vectors
 #'