Function reference
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bflSmooth() - Smooth a time series
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distance() - Distance computation for disaggregations
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in_disaggr() - Comparing a disaggregation with the high-frequency input
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in_revisions() - Comparing two disaggregations together
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in_sample() - Producing the in sample predictions of a prais-lm regression
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in_scatter() - Comparing the inputs of a praislm regression
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plot(<twoStepsBenchmark>)plot(<threeRuleSmooth>)plot(<tscomparison>)autoplot(<twoStepsBenchmark>)autoplot(<threeRuleSmooth>)autoplot(<tscomparison>) - Plotting disaggR objects
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rePort() - Producing a report
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reUseBenchmark() - Using an estimated benchmark model on another time series
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reView() - A shiny app to reView and modify twoStepsBenchmarks
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threeRuleSmooth() - Bends a time series with a lower frequency one by smoothing their rate
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twoStepsBenchmark()annualBenchmark() - Regress and bends a time series with a lower frequency one