apply_transform         Time series matrix transformation
beta_w                  Beta density polynomial weights
dateMatch               Match dates
expalmon_w              Exponential Almon polynomial weights
gb                      Gegenbauer polynomials shifted to [a,b]
lb                      Legendre polynomials shifted to [a,b]
macro_midasml           GDP nowcasting using midasML approach example
                        data
market_ret              SNP500 returns
midas_ardl              ARDL-MIDAS regression
midas_dl                DL-MIDAS regression
midasml-package         Estimation and Prediction Methods for
                        High-Dimensional Mixed Frequency Time Series
                        Data
midasml_forecast        MIDAS ML regression prediction function
mixed_freq_data         MIDAS data structure
mixed_freq_data_mhorizon
                        MIDAS data structure
mixed_freq_data_single
                        MIDAS data structure
monthBegin              Beginning of the month date
monthEnd                End of the month date
panel_sgl               Panel sg-LASSO regression model
plot_weights            MIDAS weights plot function
predict.panel_sgl       Computes prediction for the sg-LASSO panel
                        regression model
predict.reg_sgl         Computes prediction for the sg-LASSO linear
                        regression
qtarget.sort_midasml    High-dimensional mixed frequency data sort
                        function
rbeta_w                 Restricted Beta density polynomial weights
reg_sgl                 Linear sg-LASSO regression
sgl_fit                 sg-LASSO regression
transform_dt            Time series vector transformation
us_rgdp                 US real GDP data with several high-frequency
                        predictors
