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Implementing Function-on-Scalar Regression model in which the response function is dichotomized and observed sparsely. This package provides smooth estimations of functional regression coefficients and principal components for the dichotomized functional response regression (dfrr) model.
| Version: | 0.1.5 |
| Depends: | R (≥ 3.5.0), tmvtnorm (≥ 1.4-10), fda (≥ 5.1.4) |
| Imports: | MASS, ggplot2, plotly |
| Suggests: | car |
| Published: | 2023-05-31 |
| Author: | Fatemeh Asgari [aut, cre], Saeed Hayati [aut, ctb] |
| Maintainer: | Fatemeh Asgari <fatemeh.asgari at medisin.uio.no> |
| BugReports: | https://github.com/asgari-fatemeh/dfrr/issues |
| License: | GPL-3 |
| URL: | https://github.com/asgari-fatemeh/dfrr |
| NeedsCompilation: | no |
| CRAN checks: | dfrr results |
| Reference manual: | dfrr.pdf |
| Package source: | dfrr_0.1.5.tar.gz |
| Windows binaries: | r-devel: dfrr_0.1.5.zip, r-release: dfrr_0.1.5.zip, r-oldrel: dfrr_0.1.5.zip |
| macOS binaries: | r-release (arm64): dfrr_0.1.5.tgz, r-oldrel (arm64): dfrr_0.1.5.tgz, r-release (x86_64): dfrr_0.1.5.tgz, r-oldrel (x86_64): dfrr_0.1.5.tgz |
| Old sources: | dfrr archive |
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These binaries (installable software) and packages are in development.
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