print.regime_model: print regime_model object for the function outputs mtarns and...
In adrincont/mtar: Bayesian Approach for MTAR Models with Missing Data

Description Usage Arguments Details Value Author(s) References See Also Examples

Print estimates for the results of the mtarns and mtarstr functions.

1 2	## S3 method for class 'regime_model' print(object, ...)

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

Print estimates outputs corresponding to functions “mtarns” and “mtarstr” which return an object of class “regime_model”.

Return to console.

Valeria Bejarano vbejaranos@unal.edu.co & Andrey Rincon adrincont@unal.edu.co

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.

mtarns, mtarstr

data("datasim")
data = datasim$Sim$Zt
parameters = list(l = 1,orders = list(pj = 1))
initial = mtarinipars(tsregime_obj = tsregime(data),
                      list_model = list(pars = parameters))
estim1 = mtarns(ini_obj = initial,niter = 500,chain = TRUE,burn = 500)
print.regime_model(estim1)