mcmcEss: MCMC Effective Sample Size
In ernm: Exponential-Family Random Network Models
mcmcEss R Documentation
MCMC Effective Sample Size
Description
Computes the effective sample size from a statistic vector.
Usage
mcmcEss(x)
Arguments
x
A numeric vector.
Value
A numeric value representing the effective sample size.
References
Kass, R. E., Carlin, B. P., Gelman, A., & Neal, R. M. (1998).
"Markov Chain Monte Carlo in Practice: A Roundtable Discussion."
*The American Statistician*, 52(2), 93-100.
DOI: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2685466")}
ernm documentation built on April 11, 2025, 5:43 p.m.
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| mcmcEss | R Documentation |
MCMC Effective Sample Size
Description
Computes the effective sample size from a statistic vector.
Usage
mcmcEss(x)
Arguments
x |
A numeric vector. |
Value
A numeric value representing the effective sample size.
References
Kass, R. E., Carlin, B. P., Gelman, A., & Neal, R. M. (1998). "Markov Chain Monte Carlo in Practice: A Roundtable Discussion." *The American Statistician*, 52(2), 93-100. DOI: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2685466")}
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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