compute_r_eff: Compute relative effective sample size for log-likelihood
In clmstan: Cumulative Link Models with 'CmdStanR'
compute_r_eff R Documentation
Compute relative effective sample size for log-likelihood
Description
Compute relative effective sample size for log-likelihood
Usage
compute_r_eff(object, log_lik, cores = 1)
Arguments
object
A clmstan object
log_lik
Log-likelihood matrix (S x N)
cores
Number of cores for parallel computation
Value
A vector of relative effective sample sizes (length N)
clmstan documentation built on June 29, 2026, 5:06 p.m.
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| compute_r_eff | R Documentation |
Compute relative effective sample size for log-likelihood
Description
Compute relative effective sample size for log-likelihood
Usage
compute_r_eff(object, log_lik, cores = 1)
Arguments
object |
A clmstan object |
log_lik |
Log-likelihood matrix (S x N) |
cores |
Number of cores for parallel computation |
Value
A vector of relative effective sample sizes (length N)
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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