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Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015) <DOI:10.3390/ijms161025897>.

copied from cf-staging / r-adaptgauss
Type Size Name Uploaded Downloads Labels
conda 535.1 kB | win-64/r-adaptgauss-1.6-r44h8ae3a7c_1.conda  4 months and 7 days ago 204 main
conda 532.8 kB | win-64/r-adaptgauss-1.6-r43h8ae3a7c_1.conda  4 months and 7 days ago 220 main
conda 534.4 kB | osx-64/r-adaptgauss-1.6-r43h25d921d_1.conda  4 months and 7 days ago 203 main
conda 536.3 kB | osx-64/r-adaptgauss-1.6-r44h25d921d_1.conda  4 months and 7 days ago 199 main
conda 537.2 kB | linux-64/r-adaptgauss-1.6-r44h0d4f4ea_1.conda  4 months and 7 days ago 568 main
conda 535.4 kB | linux-64/r-adaptgauss-1.6-r43h0d4f4ea_1.conda  4 months and 7 days ago 621 main
conda 532.3 kB | win-64/r-adaptgauss-1.6-r41ha856d6a_0.conda  10 months and 2 days ago 239 main
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conda 533.6 kB | osx-64/r-adaptgauss-1.6-r43h29979af_0.conda  10 months and 2 days ago 221 main
conda 535.1 kB | linux-64/r-adaptgauss-1.6-r42ha503ecb_0.conda  10 months and 2 days ago 936 main
conda 534.9 kB | linux-64/r-adaptgauss-1.6-r43ha503ecb_0.conda  10 months and 2 days ago 958 main
conda 515.4 kB | win-64/r-adaptgauss-1.5.6-r41ha856d6a_2.conda  1 year and 5 months ago 415 main
conda 516.3 kB | osx-64/r-adaptgauss-1.5.6-r43hac7d2d5_2.conda  1 year and 5 months ago 227 main
conda 516.9 kB | osx-64/r-adaptgauss-1.5.6-r42hac7d2d5_2.conda  1 year and 5 months ago 217 main
conda 517.5 kB | linux-64/r-adaptgauss-1.5.6-r43ha503ecb_2.conda  1 year and 5 months ago 1200 main
conda 517.9 kB | linux-64/r-adaptgauss-1.5.6-r42ha503ecb_2.conda  1 year and 5 months ago 1178 main
conda 555.9 kB | win-64/r-adaptgauss-1.5.6-r41ha856d6a_1.tar.bz2  2 years and 1 month ago 518 main
conda 558.0 kB | osx-64/r-adaptgauss-1.5.6-r41h49197e3_1.tar.bz2  2 years and 1 month ago 68 main
conda 565.7 kB | osx-64/r-adaptgauss-1.5.6-r42h49197e3_1.tar.bz2  2 years and 1 month ago 72 main
conda 557.9 kB | linux-64/r-adaptgauss-1.5.6-r41h7525677_1.tar.bz2  2 years and 1 month ago 1480 main
conda 567.6 kB | linux-64/r-adaptgauss-1.5.6-r42h7525677_1.tar.bz2  2 years and 1 month ago 1508 main
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conda 553.7 kB | linux-64/r-adaptgauss-1.5.6-r41h03ef668_0.tar.bz2  3 years and 6 months ago 2136 main
conda 577.6 kB | win-64/r-adaptgauss-1.5.6-r36ha856d6a_0.tar.bz2  3 years and 6 months ago 766 main
conda 571.7 kB | win-64/r-adaptgauss-1.5.6-r40ha856d6a_0.tar.bz2  3 years and 6 months ago 782 main
conda 568.3 kB | osx-64/r-adaptgauss-1.5.6-r40h9951f98_0.tar.bz2  3 years and 6 months ago 123 main
conda 566.1 kB | osx-64/r-adaptgauss-1.5.6-r36h9951f98_0.tar.bz2  3 years and 6 months ago 117 main
conda 556.5 kB | linux-64/r-adaptgauss-1.5.6-r40h03ef668_0.tar.bz2  3 years and 6 months ago 2109 main
conda 569.7 kB | linux-64/r-adaptgauss-1.5.6-r36h03ef668_0.tar.bz2  3 years and 6 months ago 2102 main

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