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All functions

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