The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
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 |
Maintainer: | Matteo Pelagatti <matteo.pelagatti at unimib.it> |
License: | GPL-3 |
NeedsCompilation: | yes |
Citation: | jumps citation info |
Materials: | README |
CRAN checks: | jumps results |
Reference manual: | jumps.pdf |
Vignettes: |
Formulae (source, R code) Introduction to the jumps package (source, R code) |
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 |
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.