Package: splitSelect 1.0.3

splitSelect: Best Split Selection Modeling for Low-Dimensional Data

Functions to generate or sample from all possible splits of features or variables into a number of specified groups. Also computes the best split selection estimator (for low-dimensional data) as defined in Christidis, Van Aelst and Zamar (2019) <arxiv:1812.05678>.

Authors:Anthony Christidis <[email protected]>, Stefan Van Aelst <[email protected]>, Ruben Zamar <[email protected]>

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Bug tracker:https://github.com/anthonychristidis/splitselect/issues

On CRAN:

7 exports 0.74 score 12 dependencies 4 scripts 214 downloads

Last updated 15 days agofrom:d1b98105a5. Checks:OK: 7. Indexed: yes.

Exports:cv.splitSelectgenerate_partitionsgenerate_splitsnsplitrsplitsplitSelectsplitSelect_coef

Dependencies:codetoolsdoParallelforeachglmnetiteratorslatticeMatrixmulticoolRcppRcppEigenshapesurvival