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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:

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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.