Package: rwavelet 0.4.1.99999
rwavelet: Wavelet Analysis
Perform wavelet analysis (orthogonal,translation invariant, tensorial, 1-2-3d transforms, thresholding, block thresholding, linear,...) with applications to data compression, denoising/regression or clustering. The core of the code is a port of 'MATLAB' Wavelab toolbox written by D. Donoho, A. Maleki and M. Shahram (<https://statweb.stanford.edu/~wavelab/>).
Authors:
rwavelet_0.4.1.99999.tar.gz
rwavelet_0.4.1.99999.zip(r-4.7)rwavelet_0.4.1.99999.zip(r-4.6)rwavelet_0.4.1.99999.zip(r-4.5)
rwavelet_0.4.1.99999.tgz(r-4.6-any)rwavelet_0.4.1.99999.tgz(r-4.5-any)
rwavelet_0.4.1.99999.tar.gz(r-4.7-any)rwavelet_0.4.1.99999.tar.gz(r-4.6-any)
rwavelet_0.4.1.99999.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rwavelet/json (API)
| # Install 'rwavelet' in R: |
| install.packages('rwavelet', repos = c('https://fabnavarro.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fabnavarro/rwavelet/issues
machine-learningregressionwavelet
Last updated from:3e49fab9ed. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 129 | ||
| source / vignettes | OK | 191 | ||
| linux-release-x86_64 | NOTE | 126 | ||
| macos-release-arm64 | NOTE | 185 | ||
| macos-oldrel-arm64 | NOTE | 179 | ||
| windows-devel | NOTE | 94 | ||
| windows-release | NOTE | 80 | ||
| windows-oldrel | NOTE | 103 | ||
| wasm-release | OK | 103 |
Exports:aconvblock_partitionblock_partition2dBlockThreshCircularShiftcubelengthCVlinearDownDyadHiDownDyadLodyaddyadlengthFTWT2_POFWT_POFWT_TIFWT2_POFWT2_TIFWT3_POGWNHardThreshiconvvinvblock_partitioninvblock_partition2dITWT2_POIWT_POIWT_TIIWT2_POIWT2_TIIWT3_POJSThreshlshiftMADMakeONFilterMakeSignalMakeSignalNewbMinMaxThreshMirrorFiltMultiMADMultiSUREMultiVisupacketPlotSpikesPlotWaveCoeffquadlengthrepmatrshiftShapeAsRowSNRSoftThreshSUREThreshUpDyadHiUpDyadLoUpSampleNValSUREThreshVisuThreshWaveFEX
