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Disake (version 1.5)

Discrete associated kernel estimators

Description

Discrete smoothing of probability mass function is performed using three discrete associated kernels: Dirac Discrete Uniform (DiracDU), Binomial and Discrete Triangular. Two automatic bandwidth selection procedures are implemented: the cross-validation method for the three kernels and the local Bayesian approach for Binomial kernel. Note that DiracDU is used for categorical data, Binomial kernel is appropriate for count data with small or moderate sample sizes, and Discrete Triangular kernel is recommended for count data with large sample sizes.

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Version

Install

install.packages('Disake')

Monthly Downloads

2

Version

1.5

License

GPL (>= 2)

Maintainer

W. Wansouwé

Last Published

January 26th, 2015

Functions in Disake (1.5)

kf

Discrete associated kernel function
Baysbw

Local Bayesian function for bandwidth selection
CVbw

Cross-validation function for bandwidth selection
kpmfe

Function for kernel estimation of the probability mass function
sumry

A brief summary of the results
Disake-package

Discrete associated kernel estimators