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 | 
| In views: | TimeSeries | 
| CRAN checks: | jumps results | 
| Reference manual: | jumps.html , 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-release (arm64): jumps_1.0.tgz, r-oldrel (arm64): jumps_1.0.tgz, r-release (x86_64): jumps_1.0.tgz, r-oldrel (x86_64): jumps_1.0.tgz | 
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