derive_chain: Helper Function for 'loo' calculation
In saudiwin/idealstan: Generalized IRT Ideal Point Models with 'Stan'
View source: R/rstan_generics.R
derive_chain R Documentation
Helper Function for 'loo' calculation
Description
This function accepts a log-likelihood matrix produced by 'id_post_pred' and
extracts the IDs of the MCMC chains. It is necessary to use this function
as the second argument to the 'loo' function along with an exponentiated
log-likelihood matrix. See the package vignette How to Evaluate Models
for more details.
Usage
derive_chain(ll_matrix = NULL)
Arguments
ll_matrix
A log-likelihood matrix as produced by the id_post_pred
function
saudiwin/idealstan documentation built on Sept. 2, 2023, 1:29 a.m.
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View source: R/rstan_generics.R
| derive_chain | R Documentation |
Helper Function for 'loo' calculation
Description
This function accepts a log-likelihood matrix produced by 'id_post_pred' and extracts the IDs of the MCMC chains. It is necessary to use this function as the second argument to the 'loo' function along with an exponentiated log-likelihood matrix. See the package vignette How to Evaluate Models for more details.
Usage
derive_chain(ll_matrix = NULL)
Arguments
ll_matrix |
A log-likelihood matrix as produced by the |
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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