Package: LS2W 1.3.7

LS2W: Locally Stationary Two-Dimensional Wavelet Process Estimation Scheme

Estimates two-dimensional local wavelet spectra.

Authors:Idris Eckley [aut, cre], Guy Nason [aut], Sarah Taylor [ctb], Matthew Nunes [ctb]

LS2W_1.3.7.tar.gz
LS2W_1.3.7.zip(r-4.7)LS2W_1.3.7.zip(r-4.6)LS2W_1.3.7.zip(r-4.5)
LS2W_1.3.7.tgz(r-4.6-x86_64)LS2W_1.3.7.tgz(r-4.6-arm64)LS2W_1.3.7.tgz(r-4.5-x86_64)LS2W_1.3.7.tgz(r-4.5-arm64)
LS2W_1.3.7.tar.gz(r-4.7-arm64)LS2W_1.3.7.tar.gz(r-4.7-x86_64)LS2W_1.3.7.tar.gz(r-4.6-arm64)LS2W_1.3.7.tar.gz(r-4.6-x86_64)
LS2W_1.3.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LS2W/json (API)

# Install 'LS2W' in R:
install.packages('LS2W', repos = c('https://eckleyi.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • A - Examples of textured images
  • B - Examples of textured images
  • C - Examples of textured images

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.88 score 1 packages 25 scripts 525 downloads 1 mentions 26 exports 2 dependencies

Last updated from:debd9ff1ac. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK125
linux-devel-x86_64OK108
source / vignettesOK151
linux-release-arm64OK123
linux-release-x86_64OK104
macos-release-arm64OK156
macos-release-x86_64OK266
macos-oldrel-arm64OK179
macos-oldrel-x86_64OK383
windows-develOK85
windows-releaseOK84
windows-oldrelOK68
wasm-releaseOK91

Exports:A2namecddewscdtoimwdconvertimwdD1AmatD2ACWD2ACWmatD2AmatD2autoplotDWEnvexample.ls2wgetdataHaar2MA.diagHaar2MA.horizHaar2MA.vertHaarMontageimwdLS2WsimpacketjPhi1DnamePhiJPsi1DnamePsi2DnamePsiJsample.statsspecplot

Dependencies:MASSwavethresh

Readme and manuals

Help Manual

Help pageTopics
Estimates the locally stationary wavelet spectrum for locally stationary 2-D wavelets processesLS2W-package LS2W
Examples of textured imagesA B C
Return a D2Amat list object style name.A2name
Perform basis averaging for (packet-ordered) 2D non-decimated wavelet transform.AvBasis.wst2D
Compute the local wavelet spectrum estimatecddews
Convert a cddews type object to an imwd type objectcdtoimwd
Convert a non-decimated imwd object to a wst2D object.convertimwd
Inner product matrix of ac wavelets(1-D)D1Amat
Compute 2-D discrete autocorrelation wavelets.D2ACW
Compute 2-D discrete autocorrelation wavelets but return in array form.D2ACWmat D2ACWmat.d D2ACWmat.l
Creates the A matrix required for analysing LS2W processes.D2Amat
Plots a two-dimensional autocorrelation wavelet.D2autoplot
Environment containing precomputed objects.DWEnv
Example of how the LS2W package can be used in texture analysisexample.ls2w
Extracts detail coefficients from imwd objectgetdata
Generate 2-D Haar MA process (diagonal/vertical/horizontal direction).Haar2MA.diag
Generate 2-D Haar MA process (horizontal direction).Haar2MA.horiz
Generate 2-D Haar MA process (vertical direction).Haar2MA.vert
Generate a 2-D Haar MA process.HaarMontage
Two-dimensional wavelet transform (decomposition).imwd
Inverse two-dimensional discrete wavelet transform.imwr.imwd
Generic method for simulation of LS2W processesLS2Wsim
Simulate an LS2W process with underlying Daubechies wavelet.LS2Wsim.cddews
Converts an imwd object to a wst2D object at a given level.packetj
Return a PhiJ list object style name.Phi1Dname
Compute discrete autocorrelation scaling function.PhiJ
Print out information about a cddews object in readable form.print.cddews
Return a PsiJ list object style name.Psi1Dname
Return a D2ACW list object style name.Psi2Dname
Compute discrete autocorrelation wavelets.PsiJ
A function to calculate sample statistics for textured images using LS2Wsample.stats
Plot the LWP associated with a cddews objectspecplot
Use summary on a cddews objectsummary.cddews
Threshold two-dimensional wavelet decomposition objectthreshold.imwd