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Fits symmetric soft windowing to linear and non-linear models by assigning exponential weights over time around specified modes; bandwidth and sharpness of the windows are chosen by a grid search and comparison diagnostics (Hamed Haselimashhadi et al (2019) <doi:10.1093/bioinformatics/btz744>).
| Version: | 3.0.1 |
| Depends: | R (≥ 3.5) |
| Imports: | nlme, Rfast |
| Published: | 2026-05-11 |
| DOI: | 10.32614/CRAN.package.SmoothWin |
| Author: | Hamed Haselimashhadi [aut, cre] |
| Maintainer: | Hamed Haselimashhadi <hamedhaseli at gmail.com> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)] |
| URL: | https://doi.org/10.1093/bioinformatics/btz744 |
| NeedsCompilation: | no |
| CRAN checks: | SmoothWin results |
| Reference manual: | SmoothWin.html , SmoothWin.pdf |
| Package source: | SmoothWin_3.0.1.tar.gz |
| Windows binaries: | r-devel: SmoothWin_3.0.1.zip, r-release: SmoothWin_3.0.1.zip, r-oldrel: SmoothWin_3.0.1.zip |
| macOS binaries: | r-release (arm64): SmoothWin_3.0.1.tgz, r-oldrel (arm64): SmoothWin_3.0.1.tgz, r-release (x86_64): SmoothWin_3.0.1.tgz, r-oldrel (x86_64): SmoothWin_3.0.1.tgz |
| Old sources: | SmoothWin archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.