sstvars-package |
sstvars: toolkit for reduced form and structural smooth transition vector autoregressive models |
acidata |
U.S. Actuaries Climate Index, GDP growth rate, CPI, and interest rate data |
alt_stvar |
Construct a STVAR model based on results from an arbitrary estimation round of 'fitSTVAR' |
bound_JSR |
Calculate upper bound for the joint spectral radius of the "companion form AR matrices" of the regimes |
bound_jsr_G |
Calculate upper bound for the joint spectral radius of a set of matrices |
calc_gradient |
Calculate gradient or Hessian matrix |
calc_hessian |
Calculate gradient or Hessian matrix |
cfact_fore |
Simulate counterfactual forecast scenarios for structural STVAR models. |
cfact_girf |
Simulate counterfactual generalized impulse response functions for structural STVAR models. |
cfact_hist |
Simulate historical counterfactual for structural STVAR models. |
check_params |
Check whether the parameter vector is in the parameter space and throw error if not |
diagnostic_plot |
Residual diagnostic plot for a STVAR model |
diag_Omegas |
Simultaneously diagonalize two covariance matrices |
filter_estimates |
Filter inappropriate the estimates produced by fitSTVAR |
fitSSTVAR |
Maximum likelihood estimation of a structural STVAR model based on preliminary estimates from a reduced form model. |
fitSTVAR |
Two-phase or three-phase (penalized) maximum likelihood estimation of a reduced form smooth transition VAR model |
GAfit |
Genetic algorithm for preliminary estimation of reduced form STVAR models |
gdpdef |
U.S. real GDP percent change and GDP implicit price deflator percent change |
get_foc |
Calculate gradient or Hessian matrix |
get_gradient |
Calculate gradient or Hessian matrix |
get_hessian |
Calculate gradient or Hessian matrix |
get_hetsked_sstvar |
Switch from two-regime reduced form STVAR model to a structural model identified by heteroskedasticity |
get_soc |
Calculate gradient or Hessian matrix |
GFEVD |
Estimate generalized forecast error variance decomposition for structural STVAR models. |
GIRF |
Estimate generalized impulse response function for structural STVAR models. |
hist_decomp |
Compute historical decompositions for structural STVAR models. |
in_paramspace |
Determine whether the parameter vector is in the parameter space |
iterate_more |
Maximum likelihood estimation of a reduced form or structural STVAR model based on preliminary estimates |
linear_IRF |
Estimate linear impulse response function based on a single regime of a structural STVAR model. |
logLik.stvar |
Create a class 'stvar' object defining a reduced form or structural smooth transition VAR model |
LR_test |
Perform likelihood ratio test for a STVAR model |
plot.cfactfore |
Simulate counterfactual forecast scenarios for structural STVAR models. |
plot.cfactgirf |
Simulate counterfactual generalized impulse response functions for structural STVAR models. |
plot.cfacthist |
Simulate historical counterfactual for structural STVAR models. |
plot.gfevd |
Estimate generalized forecast error variance decomposition for structural STVAR models. |
plot.girf |
Estimate generalized impulse response function for structural STVAR models. |
plot.histdecomp |
Compute historical decompositions for structural STVAR models. |
plot.irf |
Estimate linear impulse response function based on a single regime of a structural STVAR model. |
plot.stvar |
Create a class 'stvar' object defining a reduced form or structural smooth transition VAR model |
plot.stvarpred |
Predict method for class 'stvar' objects |
plot_struct_shocks |
Plot structural shock time series of a STVAR model |
Portmanteau_test |
Perform adjusted Portmanteau test for a STVAR model |
predict.stvar |
Predict method for class 'stvar' objects |
print.cfactfore |
Simulate counterfactual forecast scenarios for structural STVAR models. |
print.cfactgirf |
Simulate counterfactual generalized impulse response functions for structural STVAR models. |
print.cfacthist |
Simulate historical counterfactual for structural STVAR models. |
print.gfevd |
Estimate generalized forecast error variance decomposition for structural STVAR models. |
print.girf |
Estimate generalized impulse response function for structural STVAR models. |
print.histdecomp |
Compute historical decompositions for structural STVAR models. |
print.hypotest |
Print method for the class hypotest |
print.irf |
Estimate linear impulse response function based on a single regime of a structural STVAR model. |
print.stvar |
Create a class 'stvar' object defining a reduced form or structural smooth transition VAR model |
print.stvarpred |
Predict method for class 'stvar' objects |
print.stvarsum |
Summary print method from objects of class 'stvarsum' |
profile_logliks |
Plot profile log-likelihood functions about the estimates |
Rao_test |
Perform Rao's score test for a STVAR model |
redecompose_Omegas |
In the decomposition of the covariance matrices (Muirhead, 1982, Theorem A9.9), change the ordering of the covariance matrices. |
reorder_B_columns |
Reorder columns of impact matrix B of a structural STVAR model that is identified by heteroskedasticity or non-Gaussianity. |
residuals.stvar |
Create a class 'stvar' object defining a reduced form or structural smooth transition VAR model |
simulate.stvar |
Simulate method for class 'stvar' objects |
sstvars |
sstvars: toolkit for reduced form and structural smooth transition vector autoregressive models |
STVAR |
Create a class 'stvar' object defining a reduced form or structural smooth transition VAR model |
stvar_to_sstvars110 |
Update STVAR model estimated with a version of the package <1.1.0 to be compatible with the versions >=1.1.0. |
summary.stvar |
Create a class 'stvar' object defining a reduced form or structural smooth transition VAR model |
swap_B_signs |
Swap all signs in pointed columns of the impact matrix of a structural STVAR model that is identified by heteroskedasticity or non-Gaussianity |
swap_parametrization |
Swap the parametrization of a STVAR model |
uncond_moments |
Calculate the unconditional means, variances, the first p autocovariances, and the first p autocorrelations of the regimes of the model. |
usacpu |
U.S. climate policy uncertainty, economic policy uncertainty, industrial production, consumer price index, |
usamone |
U.S. real GDP, GDP implicit price deflator, and interest rate data |
Wald_test |
Perform Wald test for a STVAR model |