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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.

Type Size Name Uploaded Downloads Labels
conda 191.3 kB | linux-64/r-pdfestimator-4.5-r43h884c59f_0.tar.bz2  1 year and 1 month ago 23 main
conda 177.8 kB | linux-64/r-pdfestimator-3.2.1-r42h884c59f_0.tar.bz2  2 years and 7 months ago 52 main
conda 81.8 kB | win-64/r-pdfestimator-0.1_3-r36h796a38f_0.tar.bz2  4 years and 11 months ago 85 main
conda 80.2 kB | osx-64/r-pdfestimator-0.1_3-r36h466af19_0.tar.bz2  4 years and 11 months ago 15 main
conda 78.4 kB | linux-64/r-pdfestimator-0.1_3-r36h29659fb_0.tar.bz2  4 years and 11 months ago 51 main

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