midasr-package |
Mixed Data Sampling Regression |
+.lws_table |
Combine 'lws_table' objects |
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 |
deriv_tests.midas_r |
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 |
Forecast MIDAS regression |
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 |
hAhr_test |
Test restrictions on coefficients of MIDAS regression using robust version of the test |
hAh_test |
Test restrictions on coefficients of MIDAS regression |
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 |
midasr |
Mixed Data Sampling Regression |
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_sim |
Simulate simple MIDAS regression response variable |
midas_si_plain |
MIDAS Single index regression |
midas_si_sim |
Simulate SI MIDAS regression model |
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_midas_coef.midas_r |
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 |
Simulate MIDAS regression response |
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 |
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 |
weights_table |
Create a weight function selection table for MIDAS regression model |