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: 3.2.1
Published: 2022-03-30
Author: Jenny Farmer and Donald Jacobs
Maintainer: Jenny Farmer <jfarmer6 at uncc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: PDFEstimator citation info
In views: Distributions
CRAN checks: PDFEstimator results


Reference manual: PDFEstimator.pdf


Package source: PDFEstimator_3.2.1.tar.gz
Windows binaries: r-devel: PDFEstimator_3.2.1.zip, r-release: PDFEstimator_3.2.1.zip, r-oldrel: PDFEstimator_3.2.1.zip
macOS binaries: r-release (arm64): PDFEstimator_3.2.1.tgz, r-oldrel (arm64): PDFEstimator_3.2.1.tgz, r-release (x86_64): PDFEstimator_3.2.1.tgz, r-oldrel (x86_64): PDFEstimator_3.2.1.tgz
Old sources: PDFEstimator archive


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