bflSmooth | Smooth a time series |
bflSmooth_matrices_factory | Generating a clone for bflSmooth_matrices_impl |
construction | Total GFCF in construction at current prices |
consumption_catering | Total consumption in accommodation and food services at... |
default_col_pal | Default color palette |
default_lty_pal | Default linetype palette |
default_margins | Default margins |
default_theme_ggplot | Default ggplot theme |
disaggR-class | Virtual Class "disaggR" Class of disaggregations |
disaggR-package | Two-Steps Benchmarks for Time Series Disaggregation |
distance | Distance computation for disaggregations |
extend_tsp | Extend tsp with lf |
hfserie_extrap | Extrapolation function for the hfserie in a threeRuleSmooth |
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 |
model.list | Extracting all the arguments submitted to generate an object |
outliers | Extracting the standard error |
plot.tscomparison | Plotting disaggR objects |
prais | Extracting the regression of a twoStepsBenchmark |
rePort | Producing a report |
residuals_extrap | Extrapolation function for the residuals in a... |
reUseBenchmark | Using an estimated benchmark model on another time series |
reView | A shiny app to reView and modify twoStepsBenchmarks |
rho | Extracting the autocorrelation parameter |
se | Extracting the standard error |
smoothed.part | Extracting the smoothed part of a twoStepsBenchmark |
smoothed.rate | Extracting the rate of a threeRuleSmooth |
threeRuleSmooth | Bends a time series with a lower frequency one by smoothing... |
turnover | Turnover indicator in construction |
turnover_catering | Turnover indicator in accommodation and food services |
twoStepsBenchmark | Regress and bends a time series with a lower frequency one |
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