print.regime_forecast: print regime_forecast object for the function outputs...

In adrincont/mtar: Bayesian Approach for MTAR Models with Missing Data

Description

Print estimates for the results of the mtarforecast functions.

Usage

## S3 method for class 'regime_forecast'
print(object, ...)

Arguments

object	Object of class “regime_forecast”. Not NULL
...	Other print parameters that affect.

Details

Print estimates outputs corresponding to function “mtarforecast” which return an object of class “regime_forecast”.

Value

Return to console.

Author(s)

Valeria Bejarano [e-mail] & Andrey Rincon [e-mail]

References

Calderon, S. and Nieto, F. (2017) Bayesian analysis of multivariate threshold autoregress models with missing data. Communications in Statistics - Theory and Methods 46 (1):296–318. doi:10.1080/03610926.2014.990758.

See Also

mtarforecast

Examples

data("datasim")
data('datasim')
estim = mtarns(mtarinipars(tsregime(datasim$Sim$Yt,datasim$Sim$Zt),
list_model = list(pars = list(l = datasim$Sim$l,r = datasim$Sim$r,
orders = list(pj = datasim$pj)))))
estimU = mtarns(mtarinipars(tsregime(datasim$Sim$Zt),
list_model = list(pars = list(l = 1,orders = list(pj = 1)))))
forecast = mtarforecast(estim,h = 10,modelU = estimU)
print.regime_model(forecast)

adrincont/mtar documentation built on Jan. 18, 2022, 9:49 a.m.