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>