Two-Steps Benchmarks for Time Series Disaggregation


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Documentation for package ‘disaggR’ version 0.1.9

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annualBenchmark Bends a time-serie with a lower frequency one
bflSmooth Smooth a time serie
in_sample Producing the in sample predictions of a prais-lm regression
model.list Extracting all the arguments submitted to generate an object
prais Extracting the regression of a twoStepsBenchmark
praislm Extracting the regression of a twoStepsBenchmark
reUseBenchmark Using the same estimated benchmark model on another time-serie
rho Extracting the autocorrelation parameter
se Extracting the standard error
smoothed.part Extracting the smoothed part of a twoStepsBenchmark
twoStepsBenchmark Bends a time-serie with a lower frequency one