missingest: simulated data
In adrincont/BMTAR: Bayesian Approach for MTAR Models with Missing Data
Description
Usage
Format
Source
References
Description
Results example missing data estimation process for a mtar process
Usage
1
Format
Object whit class mtar_missing
Source
R Simulation
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.
adrincont/BMTAR documentation built on Jan. 22, 2022, 2:09 p.m.
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.
Description Usage Format Source References
Description
Results example missing data estimation process for a mtar process
Usage
1 |
Format
Object whit class mtar_missing
Source
R Simulation
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.