Remove kernel density estimate from llhist

1 files changed, 9 insertions, 11 deletions

diff --git a/R/llhist.R b/R/llhist.R
index 9ddf5b10..22e3aa08 100644
--- a/R/llhist.R
+++ b/R/llhist.R
@@ -1,8 +1,7 @@
 #' Plot the distribution of log likelihoods from multistart objects
 #'
-#' Produces a histogram of log-likelihoods, and an overlayed kernel density
-#' estimate. In addition, the likelihood of the original fit is shown as
-#' a red vertical line.
+#' Produces a histogram of log-likelihoods. In addition, the likelihood of the
+#' original fit is shown as a red vertical line.
 #'
 #' @param object The [multistart] object
 #' @param breaks Passed to [hist]
@@ -10,9 +9,10 @@
 #' @param main Title of the plot
 #' @param \dots Passed to [hist]
 #' @seealso [multistart]
-#' @importFrom KernSmooth bkde
 #' @export
-llhist <- function(object, breaks = "Sturges", lpos = "topleft", main = "", ...) {
+llhist <- function(object, breaks = "Sturges", lpos = "topleft", main = "",
+  ...)
+{
   oldpar <- par(no.readonly = TRUE)
   on.exit(par(oldpar, no.readonly = TRUE))
 
@@ -26,19 +26,17 @@ llhist <- function(object, breaks = "Sturges", lpos = "topleft", main = "", ...)
   }
 
   ll <- stats::na.omit(sapply(object, llfunc))
-  kde <- KernSmooth::bkde(ll)
 
   par(las = 1)
   h <- hist(ll, freq = TRUE,
-    xlim = range(kde$x),
     xlab = "", main = main,
     ylab = "Frequency of log likelihoods", breaks = breaks, ...)
 
   freq_factor <- h$counts[1] / h$density[1]
-  lines(kde$x, freq_factor * kde$y)
+
   abline(v = logLik(attr(object, "orig")), col = 2)
+
   legend(lpos, inset = c(0.05, 0.05), bty = "n",
-    lty = 1, col = c(2, 1),
-    legend = c("original log likelihood",
-      "kernel density estimate"))
+    lty = 1, col = c(2),
+    legend = "original fit")
 }