PDFEstimator: Nonparametric Probability Density Estimator

Farmer, J., D. Jacobs (2108) <DOI:10.1371/journal.pone.0196937>. A nonparametric density estimator based on the maximum-entropy method. Accurately predicts a probability density function (PDF) for random data using a novel iterative scoring function to determine the best fit without overfitting to the sample.

Getting started

Package details

AuthorJenny Farmer <jfarmer6@uncc.edu> and Donald Jacobs <djacobs1@uncc.ecu>
MaintainerJenny Farmer <jfarmer6@uncc.edu>
LicenseGPL (>= 2)
Version2.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PDFEstimator")

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PDFEstimator documentation built on March 21, 2021, 9:07 a.m.