SmoothWin: Soft Windowing on Linear Regression

The main function in the package utilizes a windowing function in the form of an exponential weighting function to linear models. The bandwidth and sharpness of the window are controlled by two parameters. Then, a series of tests are used to identify the right parameters of the window (see Hamed Haselimashhadi et al (2019) <https://www.biorxiv.org/content/10.1101/656678v1>).

Version: 3.0.0
Depends: R (≥ 3.5)
Imports: nlme, Rfast
Published: 2019-07-27
Author: Hamed Haselimashhadi
Maintainer: Hamed Haselimashhadi <hamedhm at ebi.ac.uk>
License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)]
URL: http://hamedhaseli.webs.com, https://www.mousephenotype.org/
NeedsCompilation: no
CRAN checks: SmoothWin results

Downloads:

Reference manual: SmoothWin.pdf
Package source: SmoothWin_3.0.0.tar.gz
Windows binaries: r-devel: SmoothWin_3.0.0.zip, r-release: SmoothWin_3.0.0.zip, r-oldrel: SmoothWin_3.0.0.zip
OS X binaries: r-release: SmoothWin_3.0.0.tgz, r-oldrel: SmoothWin_3.0.0.tgz
Old sources: SmoothWin archive

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