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.

Version: 2.2
Published: 2021-03-21
Author: Jenny Farmer and Donald Jacobs
Maintainer: Jenny Farmer <jfarmer6 at uncc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: PDFEstimator results

Downloads:

Reference manual: PDFEstimator.pdf
Package source: PDFEstimator_2.2.tar.gz
Windows binaries: r-devel: PDFEstimator_2.2.zip, r-release: PDFEstimator_2.2.zip, r-oldrel: PDFEstimator_2.2.zip
macOS binaries: r-release: PDFEstimator_2.2.tgz, r-oldrel: PDFEstimator_2.2.tgz
Old sources: PDFEstimator archive

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