Fix some ::check() issues

R/utils.R

@@ -910,6 +910,13 @@ meanProbs.default <- function(x, probs=seq(0, 1, 0.25), na.rm=FALSE,
 #'   interval, this represents the number of observations used in the
 #'   input ("true") distribution.
 #'
+#' @param pred Use a prediction interval instead of a confidence
+#'   interval.  By default this is `FALSE`.
+#'
+#' @param m integer.  When using the prediction interval this
+#'   represents the number of samples that will be observed in the
+#'   future for the prediction interval.
+#'
 #' @param piMethod gives the prediction interval method (currently only lim) from Lu 2020
 #'
 #' @param M number of simulations to run for the LIM PI.
@@ -1005,7 +1012,7 @@ binomProbs.default <- function(x, probs=c(0.025, 0.05, 0.5, 0.95, 0.975), na.rm=
   if (pred) {
     .m <- mean(x, na.rm=na.rm)
     if (is.na(.m)) {
-      .ret <- quantile(NULL,probs=probs)
+      .ret <- stats::quantile(NULL,probs=probs)
       if (!onlyProbs) {
         .ret <- c("mean"=NA_real_,"var"=NA_real_, "sd"=NA_real_, "n"=NA_real_,
                   .ret)
@@ -1015,7 +1022,7 @@ binomProbs.default <- function(x, probs=c(0.025, 0.05, 0.5, 0.95, 0.975), na.rm=
       if (n == 0L) n <- as.integer(.nC)
       if (m == 0L) m <- as.integer(.nC)
       .Y <- round(.nC * .m) # number of successes
-      .ret <- quantile(.Call(`_rxode2_binomProbsPredVec_`, n, m, .Y, M, TRUE, tol),
+      .ret <- stats::quantile(.Call(`_rxode2_binomProbsPredVec_`, n, m, .Y, M, TRUE, tol),
                        probs=probs)
       if (!onlyProbs) {
         .ret <- c("mean"=.m,"var"=.m * (1.0 - .m), "sd"=sqrt(.m * (1.0 - .m)), "n"=.nC,