Function reference • disaggR

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