chain_n: MCMC Chain Iterations
In EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice
chain_n R Documentation
MCMC Chain Iterations
Description
Returns a matrix with the number of samples per chain for each stage that is present
in the emc object (i.e., preburn, burn, adapt,
sample). The number of rows of the matrix reflects the number of chains
and the number of columns the number of sampling stages.
Usage
chain_n(emc)
Arguments
emc
A list, the output of fit().
Value
A matrix
Examples
chain_n(samples_LNR)
EMC2 documentation built on April 11, 2025, 5:50 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.
| chain_n | R Documentation |
MCMC Chain Iterations
Description
Returns a matrix with the number of samples per chain for each stage that is present
in the emc object (i.e., preburn, burn, adapt,
sample). The number of rows of the matrix reflects the number of chains
and the number of columns the number of sampling stages.
Usage
chain_n(emc)
Arguments
emc |
A list, the output of |
Value
A matrix
Examples
chain_n(samples_LNR)
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.