Functional denoising and functional ANOVA through wavelet-domain Markov groves. Fore more details see: Ma L. and Soriano J. (2018) Efficient functional ANOVA through wavelet-domain Markov groves. <doi:10.48550/arXiv.1602.03990>.
| Version: | 1.1.1 |
| Imports: | methods, Rcpp (≥ 0.11.2), wavethresh |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2023-12-10 |
| Author: | Jacopo Soriano and Li Ma |
| Maintainer: | Li Ma <li.ma at duke.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | grove results |
| Reference manual: | grove.pdf |
| Package source: | grove_1.1.1.tar.gz |
| Windows binaries: | r-prerel: grove_1.1.1.zip, r-release: grove_1.1.1.zip, r-oldrel: grove_1.1.1.zip |
| macOS binaries: | r-prerel (arm64): grove_1.1.1.tgz, r-release (arm64): grove_1.1.1.tgz, r-oldrel (arm64): grove_1.1.1.tgz, r-prerel (x86_64): grove_1.1.1.tgz, r-release (x86_64): grove_1.1.1.tgz |
| Old sources: | grove archive |
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