Function reference

bflSmooth()
 Smooth a time series

distance()
 Distance computation for disaggregations

in_disaggr()
 Comparing a disaggregation with the highfrequency input

in_revisions()
 Comparing two disaggregations together

in_sample()
 Producing the in sample predictions of a praislm 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