detpack

Density estimation for possibly large data sets and conditional/unconditional random number generation or bootstrapping with distribution element trees. The function 'det.construct' translates a dataset into a distribution element tree. To evaluate the probability density based on a previously computed tree at arbitrary query points, the function 'det.query' is available. The functions 'det1' and 'det2' provide density estimation and plotting for one- and two-dimensional datasets. Conditional/unconditional smooth bootstrapping from an available distribution element tree can be performed by 'det.rnd'. For more details on distribution element trees, see: Meyer, D.W. (2016) doi:10.48550/arXiv.1610.00345 or Meyer, D.W., Statistics and Computing (2017) doi:10.1007/s11222-017-9751-9 and Meyer, D.W. (2017) doi:10.48550/arXiv.1711.04632 or Meyer, D.W., Journal of Computational and Graphical Statistics (2018) doi:10.1080/10618600.2018.1482768.

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