dfrr: Dichotomized Functional Response Regression

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
DOI: 10.32614/CRAN.package.dfrr
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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