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: 0.1.4
Depends: R (≥ 3.5.0), tmvtnorm (≥ 1.4-10), fda (≥ 5.1.4)
Imports: MASS, ggplot2, plotly
Suggests: car
Published: 2020-09-17
Author: Fatemeh Asgari [aut, cre], Saeed Hayati [aut, ctb]
Maintainer: Fatemeh Asgari <ft.asgari at sci.ui.ac.ir>
BugReports: https://github.com/asgari-fatemeh/dfrr/issues
License: GPL-3
URL: https://github.com/asgari-fatemeh/dfrr
NeedsCompilation: no
CRAN checks: dfrr results

Documentation:

Reference manual: dfrr.pdf

Downloads:

Package source: dfrr_0.1.4.tar.gz
Windows binaries: r-devel: dfrr_0.1.4.zip, r-release: dfrr_0.1.4.zip, r-oldrel: dfrr_0.1.4.zip
macOS binaries: r-release (arm64): dfrr_0.1.4.tgz, r-release (x86_64): dfrr_0.1.4.tgz, r-oldrel: dfrr_0.1.4.tgz

Linking:

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