S4-utils.R utils.R isConstant.R normarg-utils.R
subsetting-utils.R int-utils.R str-utils.R compact_bitvector.R
endoapply.R runstat.R Annotated-class.R Vector-class.R
Vector-comparison.R List-class.R AtomicList-class.R
Ranges-class.R Ranges-comparison.R IRanges-class.R
IRanges-constructor.R IRanges-utils.R DataTable-API.R
DataTable-stats.R Views-class.R Grouping-class.R
SimpleList-class.R CompressedList-class.R Rle-class.R
RleViews-class.R RleViews-utils.R AtomicList-impl.R
DataFrame-class.R DataFrame-utils.R DataFrameList-class.R
DataFrameList-utils.R RangesList-class.R GappedRanges-class.R
ViewsList-class.R RleViewsList-class.R RleViewsList-utils.R
MaskCollection-class.R RangedData-class.R FilterRules-class.R
RDApplyParams-class.R RangedData-utils.R Hits-class.R
HitsList-class.R RangesMapping-class.R IntervalTree-class.R
IntervalTree-utils.R IntervalForest-class.R
OverlapEncodings-class.R RangedSelection-class.R read.Mask.R
funprog-methods.R intra-range-methods.R inter-range-methods.R
setops-methods.R findOverlaps-methods.R nearest-methods.R
encodeOverlaps-methods.R reverse-methods.R coverage-methods.R
slice-methods.R expand-methods.R updateObject-methods.R
classNameForDisplay-methods.R test_IRanges_package.R debug.R
zzz.R

Functions for kernel smoothing for Wand & Jones (1995)

c(person("Matt", "Wand", role = "aut",
	             email = "Matt.Wand@uts.edu.au"),
             person("Brian", "Ripley", role = c("trl", "cre", "ctb"),
                    email = "ripley@stats.ox.ac.uk",
		    comment = "R port and updates"))

functions for kernel smoothing (and density estimation)
  corresponding to the book: 
  Wand, M.P. and Jones, M.C. (1995) "Kernel Smoothing".

Matt Wand [aut],
  Brian Ripley [trl, cre, ctb] (R port and updates)

Lattice is a powerful and elegant high-level data
  visualization system, with an emphasis on multivariate data, that is
  sufficient for typical graphics needs, and is also flexible enough
  to handle most nonstandard requirements.  See ?Lattice for an
  introduction.