Package index • nowcast

Data Preparation

Align and aggregate mixed-frequency series

nc_align(): Align Mixed-Frequency Time Series
nc_aggregate(): Temporal Aggregation
nc_ragged_edge(): Summarise Ragged-Edge Data Availability
nc_transform(): Stationarity Transformations

Modelling

Bridge equations and nowcasts

nc_bridge(): Bridge Equation Nowcast
nc_compute(): Compute a Nowcast by Method Name

Evaluation

Backtest and assess forecast accuracy

nc_evaluate(): Evaluate Nowcast Accuracy
nc_backtest(): Pseudo-Real-Time Backtesting
nc_dm_test(): Diebold-Mariano Test for Equal Predictive Accuracy

General

Available series

nc_available(): List Available Nowcasting Methods

Package

nowcast nowcast-package: nowcast: Economic Nowcasting with Bridge Equations and Real-Time Evaluation

S3 Methods

Plot, print, predict, and summary methods

plot(<nowcast_backtest>): Plot Method for Backtest Results
plot(<nowcast_result>): Plot Method for Nowcast Results
predict(<nowcast_result>): Predict Method for Nowcast Results
print(<nc_dataset>): Print Method for nc_dataset Objects
print(<nowcast_backtest>): Print Method for Backtest Results
print(<nowcast_result>): Print Method for Nowcast Results
summary(<nowcast_backtest>): Summary Method for Backtest Results
summary(<nowcast_result>): Summary Method for Nowcast Results