+.lws_table             Combine 'lws_table' objects
UScpiqs                 US quartely seasonaly adjusted consumer price
                        index
USeffrw                 US weekly effective federal funds rate.
USpayems                United States total employment non-farms
                        payroll, monthly, seasonally adjusted.
USqgdp                  United States gross domestic product,
                        quarterly, seasonaly adjusted annual rate.
USrealgdp               US annual gross domestic product in billions of
                        chained 2005 dollars
USunempr                US monthly unemployment rate
agk.test                Andreou, Ghysels, Kourtellos LM test
almonp                  Almon polynomial MIDAS weights specification
almonp_gradient         Gradient function for Almon polynomial MIDAS
                        weights
amidas_table            Weight and lag selection table for aggregates
                        based MIDAS regression model
amweights               Weights for aggregates based MIDAS regressions
average_forecast        Average forecasts of MIDAS models
check_mixfreq           Check data for MIDAS regression
coef.midas_nlpr         Extract coefficients of MIDAS regression
coef.midas_r            Extract coefficients of MIDAS regression
coef.midas_sp           Extract coefficients of MIDAS regression
deriv_tests             Check whether non-linear least squares
                        restricted MIDAS regression problem has
                        converged
deviance.midas_nlpr     Non-linear parametric MIDAS regression model
                        deviance
deviance.midas_r        MIDAS regression model deviance
deviance.midas_sp       Semi-parametric MIDAS regression model deviance
dmls                    MIDAS lag structure for unit root processes
expand_amidas           Create table of weights, lags and starting
                        values for Ghysels weight schema
expand_weights_lags     Create table of weights, lags and starting
                        values
extract.midas_r         Extract coefficients and GOF measures from
                        MIDAS regression object
fitted.midas_nlpr       Fitted values for non-linear parametric MIDAS
                        regression model
fitted.midas_sp         Fitted values for semi-parametric MIDAS
                        regression model
fmls                    Full MIDAS lag structure
forecast.midas_r        Forecast MIDAS regression
genexp                  Generalized exponential MIDAS coefficients
genexp_gradient         Gradient of generalized exponential MIDAS
                        coefficient generating function
get_estimation_sample   Get the data which was used to etimate MIDAS
                        regression
gompertzp               Normalized Gompertz probability density
                        function MIDAS weights specification
gompertzp_gradient      Gradient function for normalized Gompertz
                        probability density function MIDAS weights
                        specification
hAh_test                Test restrictions on coefficients of MIDAS
                        regression
hAhr_test               Test restrictions on coefficients of MIDAS
                        regression using robust version of the test
harstep                 HAR(3)-RV model MIDAS weights specification
harstep_gradient        Gradient function for HAR(3)-RV model MIDAS
                        weights specification
hf_lags_table           Create a high frequency lag selection table for
                        MIDAS regression model
imidas_r                Restricted MIDAS regression with I(1)
                        regressors
lcauchyp                Normalized log-Cauchy probability density
                        function MIDAS weights specification
lcauchyp_gradient       Gradient function for normalized log-Cauchy
                        probability density function MIDAS weights
                        specification
lf_lags_table           Create a low frequency lag selection table for
                        MIDAS regression model
lstr                    Compute LSTR term for high frequency variable
midas_auto_sim          Simulate simple autoregressive MIDAS model
midas_lstr_plain        LSTR (Logistic Smooth TRansition) MIDAS
                        regression
midas_lstr_sim          Simulate LSTR MIDAS regression model
midas_mmm_plain         MMM (Mean-Min-Max) MIDAS regression
midas_mmm_sim           Simulate MMM MIDAS regression model
midas_nlpr              Non-linear parametric MIDAS regression
midas_nlpr.fit          Fit restricted MIDAS regression
midas_pl_plain          MIDAS Partialy linear non-parametric regression
midas_pl_sim            Simulate PL MIDAS regression model
midas_qr                Restricted MIDAS quantile regression
midas_r                 Restricted MIDAS regression
midas_r.fit             Fit restricted MIDAS regression
midas_r_ic_table        Create a weight and lag selection table for
                        MIDAS regression model
midas_r_np              Estimate non-parametric MIDAS regression
midas_r_plain           Restricted MIDAS regression
midas_si_plain          MIDAS Single index regression
midas_si_sim            Simulate SI MIDAS regression model
midas_sim               Simulate simple MIDAS regression response
                        variable
midas_sp                Semi-parametric MIDAS regression
midas_u                 Estimate unrestricted MIDAS regression
mls                     MIDAS lag structure
mlsd                    MIDAS lag structure with dates
mmm                     Compute MMM term for high frequency variable
modsel                  Select the model based on given information
                        criteria
nakagamip               Normalized Nakagami probability density
                        function MIDAS weights specification
nakagamip_gradient      Gradient function for normalized Nakagami
                        probability density function MIDAS weights
                        specification
nbeta                   Normalized beta probability density function
                        MIDAS weights specification
nbetaMT                 Normalized beta probability density function
                        MIDAS weights specification (MATLAB toolbox
                        compatible)
nbetaMT_gradient        Gradient function for normalized beta
                        probability density function MIDAS weights
                        specification (MATLAB toolbox compatible)
nbeta_gradient          Gradient function for normalized beta
                        probability density function MIDAS weights
                        specification
nealmon                 Normalized Exponential Almon lag MIDAS
                        coefficients
nealmon_gradient        Gradient function for normalized exponential
                        Almon lag weights
oos_prec                Out-of-sample prediction precision data on
                        simulation example
plot_lstr               Plot MIDAS coefficients
plot_midas_coef         Plot MIDAS coefficients
plot_midas_coef.midas_nlpr
                        Plot MIDAS coefficients
plot_sp                 Plot non-parametric part of the single index
                        MIDAS regression
polystep                Step function specification for MIDAS weights
polystep_gradient       Gradient of step function specification for
                        MIDAS weights
predict.midas_nlpr      Predict method for non-linear parametric MIDAS
                        regression fit
predict.midas_r         Predict method for MIDAS regression fit
predict.midas_sp        Predict method for semi-parametric MIDAS
                        regression fit
prep_hAh                Calculate data for hAh_test and hAhr_test
rvsp500                 Realized volatility of S&P500 index
select_and_forecast     Create table for different forecast horizons
simulate.midas_r        Simulate MIDAS regression response
split_data              Split mixed frequency data into in-sample and
                        out-of-sample
update_weights          Updates weights in MIDAS regression formula
weights_table           Create a weight function selection table for
                        MIDAS regression model
