negbin_control: Set computational options for the sampling algorithms
In mcmcsae: Markov Chain Monte Carlo Small Area Estimation
View source: R/f_negbinomial.R
negbin_control R Documentation
Set computational options for the sampling algorithms
Description
Set computational options for the sampling algorithms
Usage
negbin_control(CRT.approx.m = 20L)
Arguments
CRT.approx.m
scalar integer specifying the degree of approximation to sampling
from a Chinese Restaurant Table distribution. The approximation is based on Le Cam's theorem.
Larger values yield a slower but more accurate sampler.
Value
A list with computational options for the sampling algorithm.
mcmcsae documentation built on June 8, 2025, 10:55 a.m.
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View source: R/f_negbinomial.R
| negbin_control | R Documentation |
Set computational options for the sampling algorithms
Description
Set computational options for the sampling algorithms
Usage
negbin_control(CRT.approx.m = 20L)
Arguments
CRT.approx.m |
scalar integer specifying the degree of approximation to sampling from a Chinese Restaurant Table distribution. The approximation is based on Le Cam's theorem. Larger values yield a slower but more accurate sampler. |
Value
A list with computational options for the sampling algorithm.
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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