dlmtree.control.mcmc: MCMC control settings for dlmtree model fitting
In dlmtree: Bayesian Treed Distributed Lag Models
dlmtree.control.mcmc R Documentation
MCMC control settings for dlmtree model fitting
Description
MCMC control settings for dlmtree model fitting
Usage
dlmtree.control.mcmc(n.trees = 20, n.burn = 1000, n.iter = 2000, n.thin = 10)
Arguments
n.trees
integer for number of trees in ensemble.
n.burn
integer for length of MCMC burn-in.
n.iter
integer for number of MCMC iterations to run model after burn-in.
n.thin
integer MCMC thinning factor, i.e. keep every tenth iteration.
Value
list of MCMC control parameters.
dlmtree documentation built on June 8, 2025, 12:39 p.m.
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| dlmtree.control.mcmc | R Documentation |
MCMC control settings for dlmtree model fitting
Description
MCMC control settings for dlmtree model fitting
Usage
dlmtree.control.mcmc(n.trees = 20, n.burn = 1000, n.iter = 2000, n.thin = 10)
Arguments
n.trees |
integer for number of trees in ensemble. |
n.burn |
integer for length of MCMC burn-in. |
n.iter |
integer for number of MCMC iterations to run model after burn-in. |
n.thin |
integer MCMC thinning factor, i.e. keep every tenth iteration. |
Value
list of MCMC control parameters.
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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