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print.regime_model

print regime_model object for the function outputs mtarns and mtastr


Description

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

Usage

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

Arguments

object

Object of class “regime_model”. Not NULL

...

Other print parameters that affect.

Details

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

Value

Return to console.

Author(s)

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

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

Examples

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)

BMTAR

Bayesian Approach for MTAR Models with Missing Data

v0.1.1
GPL (>= 2)
Authors
Valeria Bejarano Salcedo <vbejaranos@unal.edu.co>, Sergio Alejandro Calderon Villanueva <sacalderonv@unal.edu.co> Andrey Duvan Rincon Torres <adrincont@unal.edu.co>
Initial release
2021-01-18

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