# Two-Steps Benchmarks for Time Series Disaggregation

## Documentation for package ‘disaggR’ version 1.0.5.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

annualBenchmark | Regress and bends a time series with a lower frequency one
autoplot.threeRuleSmooth | Plotting disaggR objects
autoplot.tscomparison | Plotting disaggR objects
autoplot.twoStepsBenchmark | Plotting disaggR objects
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.threeRuleSmooth | Plotting disaggR objects
plot.tscomparison | Plotting disaggR objects
plot.twoStepsBenchmark | 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 | Regress and bends a time series with a lower frequency one