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.. image :: https://travis-ci.com/wpreimes/pybreaks.svg?token=EMNRtJMV9D8ioyMpm5R1&branch=master
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:target: https://travis-ci.com/wpreimes/pybreaks
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- Detection and correction of structural breaks in climate time series.
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+ Detection and correction of structural breaks in ( climate) time series.
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Description
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===========
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This package currently includes methods to test for inhomogeneities in satellite soil moisture measurements.
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- In also contains implemenmtations for correcting detected breaks, currently there are three methods:
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+ In also contains implementations for correcting detected breaks, currently there are three methods:
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- Linear Model Pair matching
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- Higher Order Moment adjustment (see also https://doi.org/10.1175/JCLI3855.1)
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- Quantile Category Matching (see also https://doi.org/10.1175/2010JAMC2376.1)
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The main modules in the package are:
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- - ``TsRelBreakTest `` : Implements relative statistical tests between two subperiods to detect a break.
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- - ``RegressPairFit ``, ``HigherOrderMoments ``, ``QuantileCatMatch `` : Classes that implement the correction methods
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- - ``TsRelBreakAdjust `` : Combine the detection and correction methods to correct a break between two subperiods
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+ - ``TsRelBreakTest `` : Implements relative statistical tests between two subperiods to detect a break between them .
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+ - ``RegressPairFit ``, ``HigherOrderMoments ``, ``QuantileCatMatch `` : Classes that implement the correction methods.
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+ - ``TsRelBreakAdjust `` : Combines the detection and correction methods to correct a break between two subperiods.
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- ``TsRelMultiBreak `` : Iterates over multiples breaks in a time series to correct them.
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Documentation
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