Package: PDFEstimator 4.5

PDFEstimator: Multivariate Nonparametric Probability Density Estimator

Farmer, J., D. Jacobs (2108) <doi:10.1371/journal.pone.0196937>. A multivariate 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.

Authors:Jenny Farmer <[email protected]> and Donald Jacobs <[email protected]>

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PDFEstimator.pdf |PDFEstimator.html✨
PDFEstimator/json (API)

# Install 'PDFEstimator' in R:
install.packages('PDFEstimator', repos = c('https://jennyfarmer.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 388 downloads 8 exports 3 dependencies

Last updated 1 years agofrom:19e26609a3. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:approximatePointsconvertToPDFeestimatePDFestimatePDFmvgetTargetplot2dplot3dplotBeta

Dependencies:misc3dMultiRNGplot3D