Disake: Discrete associated kernel estimators

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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.

Author
W. E. Wansouwé, C. C. Kokonendji and D. T. Kolyang
Date of publication
2015-01-26 10:50:36
Maintainer
W. E. Wansouwé <ericwansouwe@gmail.com>
License
GPL (>= 2)
Version
1.5
URLs

View on CRAN

Man pages

Baysbw
Local Bayesian function for bandwidth selection
CVbw
Cross-validation function for bandwidth selection
Disake-package
Discrete associated kernel estimators
kf
Discrete associated kernel function
kpmfe
Function for kernel estimation of the probability mass...
sumry
A brief summary of the results

Files in this package

Disake
Disake/NAMESPACE
Disake/R
Disake/R/sumry.R
Disake/R/Baysbw.R
Disake/R/CVbw.R
Disake/R/kf.R
Disake/R/kpmfe.R
Disake/MD5
Disake/DESCRIPTION
Disake/man
Disake/man/CVbw.Rd
Disake/man/kf.Rd
Disake/man/sumry.Rd
Disake/man/Baysbw.Rd
Disake/man/Disake-package.Rd
Disake/man/kpmfe.Rd