student_t_control: Set (MCMC) computational options for a Student-t likelihood...
In mcmcsae: Markov Chain Monte Carlo Small Area Estimation
student_t_control R Documentation
Set (MCMC) computational options for a Student-t likelihood model
Description
Set (MCMC) computational options for a Student-t likelihood model
Usage
student_t_control(proposal = "RW", MHscale = 1, adapt = TRUE)
Arguments
proposal
"RW" for random walk Metropolis-Hastings or "mala"
for Metropolis-adjusted Langevin.
MHscale
(starting) scale of Metropolis-Hastings update.
adapt
whether to adapt the scale of the proposal distribution
during burnin to achieve better acceptance rates.
Value
A list with computational options.
mcmcsae documentation built on July 21, 2026, 1:06 a.m.
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| student_t_control | R Documentation |
Set (MCMC) computational options for a Student-t likelihood model
Description
Set (MCMC) computational options for a Student-t likelihood model
Usage
student_t_control(proposal = "RW", MHscale = 1, adapt = TRUE)
Arguments
proposal |
"RW" for random walk Metropolis-Hastings or "mala" for Metropolis-adjusted Langevin. |
MHscale |
(starting) scale of Metropolis-Hastings update. |
adapt |
whether to adapt the scale of the proposal distribution during burnin to achieve better acceptance rates. |
Value
A list with computational options.
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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