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 |
| DOI: | 10.32614/CRAN.package.SmoothWin |
| 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 |
| 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 |
| 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 imports: | PhenStat |
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