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The mFilter package implements several time series filters useful for smoothing and extracting trend and cyclical components of a time series. The routines are commonly used in economics and finance, however they should also be interest to other areas. Currently, Christiano-Fitzgerald, Baxter-King, Hodrick-Prescott, Butterworth, and trigonometric regression filters are included in the package.
Version: | 0.1-5 |
Depends: | R (≥ 2.2.0), stats |
Suggests: | tseries, pastecs, locfit, tseriesChaos, tsDyn, forecast |
Published: | 2019-06-04 |
DOI: | 10.32614/CRAN.package.mFilter |
Author: | Mehmet Balcilar |
Maintainer: | Mehmet Balcilar <mehmet at mbalcilar.net> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://www.mbalcilar.net |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | TimeSeries |
CRAN checks: | mFilter results |
Reference manual: | mFilter.pdf |
Package source: | mFilter_0.1-5.tar.gz |
Windows binaries: | r-devel: mFilter_0.1-5.zip, r-release: mFilter_0.1-5.zip, r-oldrel: mFilter_0.1-5.zip |
macOS binaries: | r-release (arm64): mFilter_0.1-5.tgz, r-oldrel (arm64): mFilter_0.1-5.tgz, r-release (x86_64): mFilter_0.1-5.tgz, r-oldrel (x86_64): mFilter_0.1-5.tgz |
Old sources: | mFilter archive |
Reverse imports: | tspredit |
Reverse suggests: | BETS, transx |
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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.