| robfilter-package {robfilter} | R Documentation |
Robust Time Series Filters
Description
Implementations for several robust procedures that allow for (online) extraction of the signal of univariate or multivariate time series by applying robust regression techniques to a moving time window are provided. Included are univariate filtering procedures based on repeated-median regression as well as hybrid and trimmed filters derived from it; see Schettlinger et al. (2006) <doi:10.1515/BMT.2006.010>. The adaptive online repeated median by Schettlinger et al. (2010) <doi:10.1002/acs.1105> and the slope comparing adaptive repeated median by Borowski and Fried (2013) <doi:10.1007/s11222-013-9391-7> choose the width of the moving time window adaptively. Multivariate versions are also provided; see Borowski et al. (2009) <doi:10.1080/03610910802514972> for a multivariate online adaptive repeated median and Borowski (2012) <doi:10.17877/DE290R-14393> for a multivariate slope comparing adaptive repeated median. Furthermore, a repeated-median based filter with automatic outlier replacement and shift detection is provided; see Fried (2004) <doi:10.1080/10485250410001656444>.
Details
The DESCRIPTION file:
| Package: | robfilter |
| Version: | 4.1.5 |
| Date: | 2024-07-14 |
| Title: | Robust Time Series Filters |
| Authors@R: | c(person("Roland", "Fried", email = "fried@statistik.tu-dortmund.de", role = c("aut", "cre")), person("Karen", "Schettlinger", email = "schettlinger@statistik.tu-dortmund.de", role = "aut"), person("Matthias", "Borowski", email = "borowski@statistik.tu-dortmund.de", role = "aut"), person("Robin", "Nunkesser", role = "ctb"), person("Thorsten", "Bernholt", role = "ctb")) |
| Author: | Roland Fried [aut, cre], Karen Schettlinger [aut], Matthias Borowski [aut], Robin Nunkesser [ctb], Thorsten Bernholt [ctb] |
| Maintainer: | Roland Fried <fried@statistik.tu-dortmund.de> |
| Imports: | stats, graphics, utils |
| Depends: | R (>= 3.6.0), robustbase, MASS, lattice |
| Description: | Implementations for several robust procedures that allow for (online) extraction of the signal of univariate or multivariate time series by applying robust regression techniques to a moving time window are provided. Included are univariate filtering procedures based on repeated-median regression as well as hybrid and trimmed filters derived from it; see Schettlinger et al. (2006) <doi:10.1515/BMT.2006.010>. The adaptive online repeated median by Schettlinger et al. (2010) <doi:10.1002/acs.1105> and the slope comparing adaptive repeated median by Borowski and Fried (2013) <doi:10.1007/s11222-013-9391-7> choose the width of the moving time window adaptively. Multivariate versions are also provided; see Borowski et al. (2009) <doi:10.1080/03610910802514972> for a multivariate online adaptive repeated median and Borowski (2012) <doi:10.17877/DE290R-14393> for a multivariate slope comparing adaptive repeated median. Furthermore, a repeated-median based filter with automatic outlier replacement and shift detection is provided; see Fried (2004) <doi:10.1080/10485250410001656444>. |
| License: | GPL (>= 2) |
| URL: | https://msnat.statistik.tu-dortmund.de/en/team/chair/ |
| LazyData: | yes |
| Repository: | CRAN |
| NeedsCompilation: | yes |
| Packaged: | 2022-11-06 18:08:12 UTC; abbas |
| Date/Publication: | 2022-11-06 21:20:02 UTC |
| RoxygenNote: | 7.2.1 |
Index of help topics:
adore.filter A Robust Adaptive Online Repeated Median Filter
for Univariate Time Series
const Correction factors to achieve unbiasedness of
the Qn scale estimator
const.Q Correction factors to achieve unbiasedness of
the regression-free Q scale estimator
critvals Critical Values for the RM Goodness of Fit Test
dfs Degrees of freedom for the SCARM test
statistic.
dr.filter Deepest Regression (DR) filter
dw.filter Robust Double Window Filtering Methods for
Univariate Time Series
hybrid.filter Robust Hybrid Filtering Methods for Univariate
Time Series
lms.filter Least Median of Squares (LMS) filter
lqd.filter Least Quartile Difference filter
lts.filter Least Trimmed Squares (LTS) filter
madore.filter A multivariate adaptive online repeated median
filter
med.filter Median (MED) filter
mscarm.filter MSCARM (Multivariate Slope Comparing Adaptive
Repeated Median)
multi.ts Generated Multivariate Time Series
rm.filter Repeated Median (RM) filter
robfilter-package Robust Time Series Filters
robreg.filter Robust Regression Filters for Univariate Time
Series
robust.filter Robust Filtering Methods for Univariate Time
Series
scarm.filter SCARM (Slope Comparing Adaptive Repeated
Median)
sizecorrection Bias correction factors for the robust scale
estimators MAD, Sn, Qn, and LSH
timecorrection Correction factors for the scale estimation of
the filtering procedure proposed by Fried
(2004).
var.n Variance of the Repeated Median slope
estimator.
wrm.filter Weighted Repeated Median Filters for Univariate
Time Series
wrm.smooth Weighted Repeated Median Smoothing
adore.filter A Robust Adaptive Online Repeated Median Filter
for Univariate Time Series
const.Q Correction factors to achieve unbiasedness of
the regression-free Q scale estimator
const Correction factors to achieve unbiasedness of
the Qn scale estimator
critvals Critical Values for the RM Goodness of Fit Test
dfs Degrees of freedom for the SCARM test statistic
dr.filter Deepest Regression (DR) filter
dw.filter Robust Double Window Filtering Methods for
Univariate Time Series
hybrid.filter Robust Hybrid Filtering Methods for Univariate
Time Series
lms.filter Least Median of Squares (LMS) filter
lqd.filter Least Quartile Difference (LQD) filter
lts.filter Least Trimmed Squares (LTS) filter
madore.filter A Robust Adaptive Online Filter for
Multivariate Time Series
med.filter Median (MED) filter
multi.ts Generated Multivariate Time Series
rm.filter Repeated Median (RM) filter
robreg.filter Robust Regression Filters for Univariate Time
Series
robust.filter Robust Filtering Methods for Univariate Time
Series
scarm.filter SCARM (Slope Comparing Adaptive Repeated Median)
var.n Variance of the Repeated Median slope estimator
wrm.filter Weighted Repeated Median Filters for Univariate
Time Series
wrm.smooth Weighted Repeated Median Smoothing
Author(s)
Roland Fried [aut, cre], Karen Schettlinger [aut], Matthias Borowski [aut], Robin Nunkesser [ctb], Thorsten Bernholt [ctb]
Maintainer: Roland Fried <fried@statistik.tu-dortmund.de>