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mFilter: Miscellaneous Time Series Filters

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

Documentation:

Reference manual: mFilter.pdf

Downloads:

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 dependencies:

Reverse imports: AFR, tspredit
Reverse suggests: BETS, transx

Linking:

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