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modeest 2.4.0 (2019-11-17)

Breaking changes

• Defunct hrm() due to difficulties in installing automatically Bioconductor’s ‘genefilter’ dependency. This function shall be reintroduced in a future version.

Performance

• Remove dependency to the ‘genefilter’ package.

modeest 2.3.3

Features

• Simplify and improve the code of parzen(), vieu(), tsybakov(), meanshift(), mlv().

• Improve documentation.

modeest 2.3.2

Breaking changes

• 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().

• Move mfv() and mfv1() to package statip (and reexport them).

• Remove discrete(). Use mfv() or mfv1() instead.

modeest 2.3.0

Features

• Move hidden kernel related functions to package statip.

• Deprecate discrete(); it will be removed in a future version of the package. Start using mfv() instead.

• Add mfv1(), which always returns a length 1 value (so that mfv1(x)==mfv(x)[[1L]]).

modeest 2.2

Bug fixes

• Thank you to W. H. Beasley who pointed out a slight mistake in the calculation of Bickel’s skewness in mlv.integer(). Now the skewness is set at NA in case of multiple modes.

• As documented under ?as.numeric, the function as.numeric.mlv() was not correct, and is now replaced by as.double.mlv().

Features

• Add the meanshift mode estimator.

modeest 2.1

Breaking changes

• Remove function symstbMode().

Bug fixes

• Thank you to C. Lepoittevin and K. Fijorek who pointed out a misuse of ifelse in the function hsm(). This has been corrected, so now hsm works correctly.

Features

• Add functions fiskMode(), gompertzMode(), koenkerMode(), kumarMode(), laplaceMode(), paralogisticMode(), paretoMode(), rayleighMode().

modeest 1.09

Breaking changes

• Remove methods for the Chernoff distribution, because of their lack of efficiency.

• Remove the DIP statistic.

• In function tsybakov(), the argument djeddour is renamed dmp.

• In functions parzen() and mlv.density(), the argument biau is renamed abc.

Features

• Add the Asselin de Beauville mode estimator.

• Add function as.numeric.mlv().

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They may not be fully stable and should be used with caution. We make no claims about them.
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