update docs

Author: mllg

DESCRIPTION

@@ -47,7 +47,7 @@ Suggests:
 Encoding: UTF-8
 NeedsCompilation: no
 Roxygen: list(markdown = TRUE, r6 = FALSE)
-RoxygenNote: 7.0.0
+RoxygenNote: 7.0.1
 Collate:
     'Filter.R'
     'mlr_filters.R'

R/FilterAnova.R

@@ -13,10 +13,10 @@
 #' ```
 #'
 #' @description ANOVA F-Test filter calling [stats::aov()]. Note that this is
-#' equivalent to a t-test for binary classification.
+#' equivalent to a \eqn{t}-test for binary classification.
 #'
-#' The filter value is `-log10(p)` where `p` is the p-value. This transformation
-#' is necessary to ensure numerical stability for very small p-values.
+#' The filter value is `-log10(p)` where `p` is the \eqn{p}-value. This transformation
+#' is necessary to ensure numerical stability for very small \eqn{p}-values.
 #'
 #' @family Filter
 #' @template seealso_filter

R/FilterKruskalTest.R

@@ -12,10 +12,10 @@
 #' flt("kruskal_test")
 #' ```
 #'
-#' @description Kruskal-Wallis rank sum test filter calling
-#' [stats::kruskal.test()]. The filter value is `-log10(p)` where `p` is the
-#' p-value. This transformation is necessary to ensure numerical stability for
-#' very small p-values.
+#' @description Kruskal-Wallis rank sum test filter calling [stats::kruskal.test()].
+#'
+#' The filter value is `-log10(p)` where `p` is the \eqn{p}-value. This transformation
+#' is necessary to ensure numerical stability for very small \eqn{p}-values.
 #'
 #' @family Filter
 #' @template seealso_filter