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PDFEstimator  

Multivariate Nonparametric Probability Density Estimator
View on CRAN: Click here


Download and install PDFEstimator package within the R console
Install from CRAN:
install.packages("PDFEstimator")

Install from Github:
library("remotes")
install_github("cran/PDFEstimator")

Install by package version:
library("remotes")
install_version("PDFEstimator", "4.5")



Attach the package and use:
library("PDFEstimator")
Maintained by
Jenny Farmer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-14
Latest Update: 2023-08-24
Description:
Farmer, J., D. Jacobs (2108) . 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.
How to cite:
Jenny Farmer (2018). PDFEstimator: Multivariate Nonparametric Probability Density Estimator. R package version 4.5, https://cran.r-project.org/web/packages/PDFEstimator
Previous versions and publish date:
0.1-0 (2018-10-14 19:20), 0.1-1 (2018-11-18 01:50), 0.1-2 (2019-04-08 14:02), 0.1-3 (2019-04-18 13:50), 2.0 (2021-01-28 06:40), 2.1 (2021-03-06 22:10), 2.2 (2021-03-21 08:00), 3.0 (2021-08-21 06:30), 3.1 (2021-11-23 19:40), 3.2.1 (2022-03-30 13:10), 3.2 (2022-03-26 20:20), 4.0 (2022-07-12 01:50), 4.1 (2022-08-11 15:50), 4.3 (2022-10-02 17:20)
Other packages that cited PDFEstimator R package
View PDFEstimator citation profile
Other R packages that PDFEstimator depends, imports, suggests or enhances
Functions, R codes and Examples using the PDFEstimator R package
Some associated functions: PDFEstimator-package . approximatePoints . convertToPDFe . estimatePDF . estimatePDFmv . getTarget . lines . plot . plot2d . plot3d . plotBeta . 
Some associated R codes: approximatePoints.R . convertToPDFe.R . estimatePDF.R . estimatePDFmv.R . getTarget.R . lines.R . plot.R . plot2d.R . plot3d.R . plotBeta.R . print.R . summary.R .  Full PDFEstimator package functions and examples
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