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) <>).

Version: 3.0.0
Depends: R (≥ 3.5)
Imports: nlme, Rfast
Published: 2019-07-27
DOI: 10.32614/CRAN.package.SmoothWin
Author: Hamed Haselimashhadi
Maintainer: Hamed Haselimashhadi <hamedhm at>
License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SmoothWin results


Reference manual: SmoothWin.pdf


Package source: SmoothWin_3.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SmoothWin_3.0.0.tgz, r-oldrel (arm64): SmoothWin_3.0.0.tgz, r-release (x86_64): SmoothWin_3.0.0.tgz, r-oldrel (x86_64): SmoothWin_3.0.0.tgz
Old sources: SmoothWin archive

Reverse dependencies:

Reverse imports: PhenStat


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