Two-Steps Benchmarks for Time Series Disaggregation

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Documentation for package ‘disaggR’ version 1.0.5.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• 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