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jumps: Hodrick-Prescott Filter with Jumps

A set of functions to compute the Hodrick-Prescott (HP) filter with automatically selected jumps. The original HP filter extracts a smooth trend from a time series, and our version allows for a small number of automatically identified jumps. See Maranzano and Pelagatti (2024) <doi:10.2139/ssrn.4896170> for details.

Version: 1.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.10), stats, nloptr
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), ggplot2, xts
Published: 2025-03-24
DOI: 10.32614/CRAN.package.jumps
Author: Matteo Pelagatti ORCID iD [aut, cre, cph], Paolo Maranzano ORCID iD [aut, cph]
Maintainer: Matteo Pelagatti <matteo.pelagatti at unimib.it>
License: GPL-3
NeedsCompilation: yes
Citation: jumps citation info
Materials: README
CRAN checks: jumps results

Documentation:

Reference manual: jumps.pdf
Vignettes: Formulae (source, R code)
Introduction to the jumps package (source, R code)

Downloads:

Package source: jumps_1.0.tar.gz
Windows binaries: r-devel: jumps_1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-devel (arm64): jumps_1.0.tgz, r-release (arm64): jumps_1.0.tgz, r-oldrel (arm64): jumps_1.0.tgz, r-devel (x86_64): jumps_1.0.tgz, r-release (x86_64): jumps_1.0.tgz, r-oldrel (x86_64): jumps_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=jumps 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.