Provides the function sp() for generating the support points proposed in Mak and Joseph (2017) <arXiv:1609.01811>. Support points are representative points of a possibly non-uniform distribution, and can be used as optimal sampling or integration points for a distribution of choice. The provided function sp() can be used to generate support points for standard distributions or for reducing big data (e.g., from Markov-chain Monte Carlo methods). A detailed description of the algorithm is found in Mak and Joseph (2017).
| Version: | 0.1.1 |
| Imports: | Rcpp (≥ 0.12.4), randtoolbox, matrixStats, doParallel, nloptr, MHadaptive |
| LinkingTo: | Rcpp, RcppArmadillo, BH |
| Published: | 2018-04-24 |
| Author: | Simon Mak |
| Maintainer: | Simon Mak <smak6 at gatech.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | support results |
| Reference manual: | support.pdf |
| Package source: | support_0.1.1.tar.gz |
| Windows binaries: | r-devel: support_0.1.1.zip, r-release: support_0.1.1.zip, r-oldrel: support_0.1.1.zip |
| OS X binaries: | r-release: support_0.1.1.tgz, r-oldrel: support_0.1.1.tgz |
| Old sources: | support archive |
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