Package: SmoothWin 3.0.0
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>).
Authors:
SmoothWin_3.0.0.tar.gz
SmoothWin_3.0.0.zip(r-4.5)SmoothWin_3.0.0.zip(r-4.4)SmoothWin_3.0.0.zip(r-4.3)
SmoothWin_3.0.0.tgz(r-4.4-any)SmoothWin_3.0.0.tgz(r-4.3-any)
SmoothWin_3.0.0.tar.gz(r-4.5-noble)SmoothWin_3.0.0.tar.gz(r-4.4-noble)
SmoothWin_3.0.0.tgz(r-4.4-emscripten)SmoothWin_3.0.0.tgz(r-4.3-emscripten)
SmoothWin.pdf |SmoothWin.html✨
SmoothWin/json (API)
# Install 'SmoothWin' in R: |
install.packages('SmoothWin', repos = c('https://hamed-ebi.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:2bbbd0d3b5. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-win | NOTE | Nov 19 2024 |
R-4.5-linux | NOTE | Nov 19 2024 |
R-4.4-win | NOTE | Nov 19 2024 |
R-4.4-mac | NOTE | Nov 19 2024 |
R-4.3-win | NOTE | Nov 19 2024 |
R-4.3-mac | NOTE | Nov 19 2024 |
Dependencies:latticenlmeRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfast
Readme and manuals
Help Manual
Help page | Topics |
---|---|
This function computes the smooth windowing weights | expWeight |
Plot function for the SmoothWin object | plot.SmoothWin |
Implementation of the soft windowing for linear models | SmoothWin |