datasim_numreg: Multivariate threshold autoregressive process simulation for...
In BMTAR: Bayesian Approach for MTAR Models with Missing Data
Description
Usage
Format
Source
References
Description
object of class “regime_number”
Usage
1
Format
Object with class regime_number
Source
R Simulate
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.
BMTAR documentation built on Jan. 19, 2021, 9:06 a.m.
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Description Usage Format Source References
Description
object of class “regime_number”
Usage
1 |
Format
Object with class regime_number
Source
R Simulate
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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