samp: Posterior samples of model parameters for the salamander...
In mcll: Monte Carlo Local Likelihood Estimation
Description
Format
References
Examples
Description
These are 3,000 posterior samples of the six model parameters (four fixed effects and two log standard deviation parameters).
For the model and priors, see Section 4 in Jeon et al. (2012).
Format
A data matrix with 3,000 posterior samples for the six parameters.
References
Jeon, M., Kaufman, C., and Rabe-Hesketh, S. (2012). Monte Carlo local likelihood
for approximate MLE of complex models. Submitted for publication.
Examples
1
2
mcll documentation built on May 2, 2019, 8:20 a.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 Format References Examples
Description
These are 3,000 posterior samples of the six model parameters (four fixed effects and two log standard deviation parameters). For the model and priors, see Section 4 in Jeon et al. (2012).
Format
A data matrix with 3,000 posterior samples for the six parameters.
References
Jeon, M., Kaufman, C., and Rabe-Hesketh, S. (2012). Monte Carlo local likelihood for approximate MLE of complex models. Submitted for publication.
Examples
1 2 |
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.