network.predictability documentation update

R/network.predictability.R

@@ -56,17 +56,17 @@
 #'
 #' \itemize{
 #'
-#' \item{dichotomous}{Accuracy or the percent correctly predicted for the 0s and 1s}
+#' \item dichotomous --- Accuracy or the percent correctly predicted for the 0s and 1s
 #'
-#' \item{polytomous}{Accuracy based on the correctly predicting the ordinal category exactly
+#' \item polytomous --- Accuracy based on the correctly predicting the ordinal category exactly
 #' (i.e., 1 = 1, 2, = 2, etc.) and a weighted accuracy such that absolute distance of the
 #' predicted value from the actual value (e.g., |prediction - actual| = 1) is used
 #' as the power of 0.5. This weighted approach provides an overall distance in terms of
 #' accuracy where each predicted value away from the actual value is given a harsher
 #' penalty (absolute difference = accuracy value): 0 = 1.000, 1 = 0.500, 2 = 0.2500,
-#' 3 = 0.1250, 4 = 0.0625, etc.}
+#' 3 = 0.1250, 4 = 0.0625, etc.
 #'
-#' \item{continuous}{R-sqaured and root mean square error}
+#' \item continuous --- R-sqaured and root mean square error
 #'
 #' }
 #'