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: jumps_1.0.zip, r-oldrel: jumps_1.0.zip |
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.