valid_mcmc: validate the operational parameters for MCMC method
In psborrow: Bayesian Dynamic Borrowing with Propensity Score
valid_mcmc R Documentation
validate the operational parameters for MCMC method
Description
validate the operational parameters for MCMC method
Usage
valid_mcmc(n.chains, n.adapt, n.burn, n.iter)
Arguments
n.chains
number of parallel chains for the model
n.adapt
number of iterations for adaptation
n.burn
number of iterations discarded as burn-in
n.iter
number of iterations to monitor
Value
A list containing numbers of parallel chains and iterations
psborrow documentation built on March 7, 2023, 8:32 p.m.
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| valid_mcmc | R Documentation |
validate the operational parameters for MCMC method
Description
validate the operational parameters for MCMC method
Usage
valid_mcmc(n.chains, n.adapt, n.burn, n.iter)
Arguments
n.chains |
number of parallel chains for the model |
n.adapt |
number of iterations for adaptation |
n.burn |
number of iterations discarded as burn-in |
n.iter |
number of iterations to monitor |
Value
A list containing numbers of parallel chains and iterations
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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