Package index • bridgr

All functions

aggregation_parameters(): Estimated Parametric Aggregation Parameters
as.forecast(): Coerce a Mixed-Frequency Forecast to a forecast Object
forecast(<mf_model>) print(<mf_model_forecast>): Forecast a Mixed-Frequency Model
gdp baro wea fcurve: Swiss Economic Indicators
indicators(): Indicator Names of a Mixed-Frequency Model
coef(<mf_model>) confint(<mf_model>) formula(<mf_model>) nobs(<mf_model>) vcov(<mf_model>) fitted(<mf_model>) residuals(<mf_model>) model.frame(<mf_model>) variable.names(<mf_model>) print(<mf_model>): Accessor Methods for Mixed-Frequency Models
mf_model() bridge(): Estimate a Mixed-Frequency Model
plot(<mf_model>): Plot a Mixed-Frequency Model
plot(<mf_model_forecast>) autoplot(<mf_model_forecast>): Plot a Mixed-Frequency Forecast
print(<summary.mf_model>): Print a Mixed-Frequency Model Summary
summary(<mf_model>): Summarize a Mixed-Frequency Model
theme_bridgr() colors_bridgr() scale_color_bridgr() scale_fill_bridgr(): bridgr Plot Theme and Color Scales
weights(<mf_model>): Aggregation Weights of a Mixed-Frequency Model