McmcOptions: Constructor for class McmcOptions
In glmBfp: Bayesian Fractional Polynomials for GLMs
Description
Usage
Arguments
Value
Description
Note that the argument samples is included for convenience only -
you can specify it instead of iterations.
Usage
1
2
McmcOptions(iterations = as.integer(burnin + (step * samples)),
burnin = 10000L, step = 10L, samples = 10000L)
Arguments
iterations
number of MCMC iterations (default: 110,000)
burnin
number of burn-in iterations which are not saved (default:
10,000)
step
only every step-th iteration is saved after the burn-in
(default: 10)
samples
number of resulting samples (by default 10,000 will result)
Value
the freshly built object of class McmcOptions
glmBfp documentation built on May 2, 2019, 5:26 p.m.
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Description Usage Arguments Value
Description
Note that the argument samples is included for convenience only -
you can specify it instead of iterations.
Usage
1 2 | McmcOptions(iterations = as.integer(burnin + (step * samples)),
burnin = 10000L, step = 10L, samples = 10000L)
|
Arguments
iterations |
number of MCMC iterations (default: |
burnin |
number of burn-in iterations which are not saved (default:
|
step |
only every step-th iteration is saved after the burn-in
(default: |
samples |
number of resulting samples (by default |
Value
the freshly built object of class McmcOptions
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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