Package: grove 1.1.1
Li Ma
grove: Wavelet Functional ANOVA Through Markov Groves
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. <arXiv:1602.03990v2 [stat.ME]>.
Authors:
grove_1.1.1.tar.gz
grove_1.1.1.tar.gz(r-4.5-noble)grove_1.1.1.tar.gz(r-4.4-noble)
grove_1.1.1.tgz(r-4.4-emscripten)grove_1.1.1.tgz(r-4.3-emscripten)
grove.pdf |grove.html✨
grove/json (API)
| # Install 'grove' in R: |
| install.packages('grove', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:e6081aaf15. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 06 2024 |
| R-4.5-linux-x86_64 | OK | Oct 06 2024 |
Exports:DenoiseDWTFAnovaGenerateSyntheticAnovaInvDWTPlotFunPlotStates
Dependencies:MASSRcppRcppArmadillowavethresh
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian wavelet denoising | Denoise |
| Discrete wavelet transform | DWT |
| Bayesian functional ANOVA | FAnova |
| Generate synthetic functional ANOVA dataset | GenerateSyntheticAnova |
| grove: A package for functional denoising and functional ANOVA | grove-package grove |
| Inverse discrete wavelet transform | InvDWT |
| Function to plot the denoised signal | PlotFun |
| Function to plot the hidden states | PlotStates |
