Package aws details
Adaptive Weights Smoothing
We provide a collection of R-functions implementing
adaptive smoothing procedures in 1D, 2D and 3D. This includes
the Propagation-Separation Approach to adaptive smoothing as
described in "J. Polzehl and V. Spokoiny (2006)
Maintainer: Joerg Polzehl < joerg.polzehl at wias-berlin.de >
From within R, enter citation('aws')
If you have any problems with this package you can open a new issue or check the already existing ones here.
To install this package, start R and enter:
source("https://neuroconductor.org/neurocLite.R")
# Default Install
neuro_install('aws')
# from GitHub
neuro_install('aws', release = "stable", release_repo = "github")
neuro_install('aws', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
Initially submitted on | February 3 2020 2:54PM |
Last updated on | March 31 2021 10:00AM |
Package type | standard |
Source GitHub | https://github.com/WIAS-BERLIN/aws GitHub |
Neuroconductor GitHub | https://github.com/neuroconductor/aws GitHub |
Depends | R (3.4.0), awsMethods(>=1.1-1) |
Imports | methods, gsl |
Reverse Imports | fmri (2.4), dti (2.4.1), qMRI (2.4) |