Provides estimators of the mode of univariate data or univariate distributions.
The package 'modeest' provides estimators of the mode of univariate unimodal (and sometimes multimodal) data and values of the modes of usual probability distributions.
You can install the release version of modeest
from the CRAN with:
# Install the 'genefilter' package from BioConductor first: source("http://bioconductor.org/biocLite.R")biocLite("genefilter") # Then call 'install.packages()' as usual: install.packages("modeest")
You can install the development version of modeest
from GitHub with:
# install.packages("devtools")devtools::install_github("paulponcet/modeest")
parzen()
, vieu()
,
tsybakov()
, meanshift()
, mlv()
.mlv()
no longer returns a list, it returns a vector of
values (usually one single value) for the sake of simplicity and homogeneity
with functions such as mean()
or median()
.mfv()
or mfv1()
are moved to package statip
and reexported by modeest
.discrete()
is now removed. Use mfv()
or mfv1()
instead.statip
.discrete()
is now deprecated and will be removed in a future version of the
package. Use mfv()
instead.mfv1()
is a new function that always returns a length 1 value (so that mfv1(x)==mfv(x)[[1L]]
).mlv.integer()
. Now the skewness is set at
NA
in case of multiple modes.?as.numeric
, the function as.numeric.mlv()
was not
correct, and is now replaced by as.double.mlv()
.ifelse
in the function hsm()
. This has been corrected, so now hsm
works
correctly.fiskMode()
, gompertzMode()
, koenkerMode()
, kumarMode()
,
laplaceMode()
, paralogisticMode()
, paretoMode()
, rayleighMode()
are
added.symstbMode()
is removed.as.numeric.mlv()
is provided.tsybakov()
, the argument djeddour
is renamed dmp
.parzen()
and mlv.density()
, the argument biau
is renamed abc
.