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README.rst

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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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