Minor update of documentation (spell-check)

R/pit.R

@@ -33,7 +33,7 @@
 #'   The draws in `x` can further be provided (log-)weights in
 #    `weights`, which enables for example the computation of LOO-PITs.
 #'
-#'   If `y` and `x` are discrete, randomisation is used to obtain continuous PIT
+#'   If `y` and `x` are discrete, randomization is used to obtain continuous PIT
 #'   values. (see, e.g., Czado, C., Gneiting, T., Held, L.: Predictive model
 #'   assessment for count data.  Biometrics 65(4), 1254–1261 (2009).)
 #'

R/rvar-print.R

@@ -11,7 +11,7 @@
 #'   output. If `TRUE`, the [pillar::style_num()] functions may be used to
 #'   produce strings containing control sequences to produce colored output on
 #'   the terminal.
-#' @param width The maxmimum width used to print out lists of factor levels
+#' @param width The maximum width used to print out lists of factor levels
 #'   for [`rvar_factor`]s. See [format()].
 #' @param vec.len (nonnegative integer) How many 'first few' elements are
 #'   displayed of each vector. If `NULL`, defaults to

R/rvar-slice.R

@@ -6,7 +6,7 @@
 #' @param i,... indices; see *Details*.
 #' @param drop (logical) Should singular dimensions be dropped when slicing
 #' array [`rvar`]s? Unlike base array slicing operations, defaults to `FALSE`.
-#' @param value (`rvar` or coercable to `rvar`) Value to insert into
+#' @param value (`rvar` or coercible to `rvar`) Value to insert into
 #' `x` at the location determined by the indices.
 #'
 #' @details