evaluate_accepted_draws: View the number of accepted posterior draws for each...
In JasperHG90/blm: Bayesian linear model
Description
Usage
Arguments
Value
Description
If a user chooses to use the Gibbs sampler only, then the number of accepted draws is equal to the number of iterations in each chain. For the Metropolis-Hastings algorithm, this depends on the value of lambda set by the user in the set_sampler function.
Usage
1
Arguments
x
a blm object
Value
prints the number of accepted draws for each parameter in each chain to the console
JasperHG90/blm documentation built on Sept. 4, 2019, 11:16 a.m.
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Description Usage Arguments Value
Description
If a user chooses to use the Gibbs sampler only, then the number of accepted draws is equal to the number of iterations in each chain. For the Metropolis-Hastings algorithm, this depends on the value of lambda set by the user in the set_sampler function.
Usage
1 |
Arguments
x |
a blm object |
Value
prints the number of accepted draws for each parameter in each chain to the console
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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