The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

fpcb: Predictive Confidence Bands for Functional Time Series Forecasting

Functions to represent functional objects under a Reproducing Kernel Hilbert Space (RKHS) framework as described in Muñoz & González (2010). Autoregressive Hilbertian Model for functional time series using RKHS and predictive confidence bands construction as proposed in Hernández et al (2021).

Version: 0.1.0
Imports: FNN
Published: 2021-06-07
DOI: 10.32614/CRAN.package.fpcb
Author: Nicolás Hernández [aut, cre], Jairo Cugliari [aut, cre], Julien Jacques [aut]
Maintainer: Nicolás Hernández <nicolashernandezb at gmail.com>
BugReports: https://github.com/nicolashernandezb/fpcb/issues
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README
In views: TimeSeries
CRAN checks: fpcb results

Documentation:

Reference manual: fpcb.pdf

Downloads:

Package source: fpcb_0.1.0.tar.gz
Windows binaries: r-devel: fpcb_0.1.0.zip, r-release: fpcb_0.1.0.zip, r-oldrel: fpcb_0.1.0.zip
macOS binaries: r-release (arm64): fpcb_0.1.0.tgz, r-oldrel (arm64): fpcb_0.1.0.tgz, r-release (x86_64): fpcb_0.1.0.tgz, r-oldrel (x86_64): fpcb_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fpcb 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.
Health stats visible at Monitor.