Man pages for arnaud-feldmann/disaggR
Two-Steps Benchmarks for Time Series Disaggregation

bflSmoothSmooth a time series
bflSmooth_matrices_factoryGenerating a clone for bflSmooth_matrices_impl
constructionTotal GFCF in construction at current prices
consumption_cateringTotal consumption in accommodation and food services at...
default_col_palDefault color palette
default_lty_palDefault linetype palette
default_marginsDefault margins
default_theme_ggplotDefault ggplot theme
disaggR-classVirtual Class "disaggR" Class of disaggregations
disaggR-packageTwo-Steps Benchmarks for Time Series Disaggregation
distanceDistance computation for disaggregations
extend_tspExtend tsp with lf
hfserie_extrapExtrapolation function for the hfserie in a threeRuleSmooth
in_disaggrComparing a disaggregation with the high-frequency input
in_revisionsComparing two disaggregations together
in_sampleProducing the in sample predictions of a prais-lm regression
in_scatterComparing the inputs of a praislm regression
model.listExtracting all the arguments submitted to generate an object
outliersExtracting the standard error
plot.tscomparisonPlotting disaggR objects
praisExtracting the regression of a twoStepsBenchmark
rePortProducing a report
residuals_extrapExtrapolation function for the residuals in a...
reUseBenchmarkUsing an estimated benchmark model on another time series
reViewA shiny app to reView and modify twoStepsBenchmarks
rhoExtracting the autocorrelation parameter
seExtracting the standard error
smoothed.partExtracting the smoothed part of a twoStepsBenchmark
smoothed.rateExtracting the rate of a threeRuleSmooth
threeRuleSmoothBends a time series with a lower frequency one by smoothing...
turnoverTurnover indicator in construction
turnover_cateringTurnover indicator in accommodation and food services
twoStepsBenchmarkRegress and bends a time series with a lower frequency one
arnaud-feldmann/disaggR documentation built on July 21, 2024, 8:15 a.m.