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slasso: S-LASSO Estimator for the Function-on-Function Linear Regression

Implements the smooth LASSO estimator for the function-on-function linear regression model described in Centofanti et al. (2020) <doi:10.48550/arXiv.2007.00529>.

Version: 1.0.0
Depends: inline
Imports: Rcpp, RcppArmadillo, fda, fda.usc, matrixcalc, parallel, matrixStats, MASS, plot3D, methods, cxxfunplus
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat
Published: 2021-10-15
DOI: 10.32614/CRAN.package.slasso
Author: Fabio Centofanti [cre, aut], Antonio Lepore [aut], Simone Vantini [aut], Matteo Fontana [aut]
Maintainer: Fabio Centofanti <fabio.centofanti at unina.it>
BugReports: https://github.com/unina-sfere/slasso
License: GPL (≥ 3)
URL: https://github.com/unina-sfere/slasso
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
In views: FunctionalData
CRAN checks: slasso results

Documentation:

Reference manual: slasso.pdf

Downloads:

Package source: slasso_1.0.0.tar.gz
Windows binaries: r-devel: slasso_1.0.0.zip, r-release: slasso_1.0.0.zip, r-oldrel: slasso_1.0.0.zip
macOS binaries: r-release (arm64): slasso_1.0.0.tgz, r-oldrel (arm64): slasso_1.0.0.tgz, r-release (x86_64): slasso_1.0.0.tgz, r-oldrel (x86_64): slasso_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=slasso to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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