sadapter.Const {BayesFluxR} | R Documentation |
Use a constant stepsize in mcmc
Description
Use a constant stepsize in mcmc
Usage
sadapter.Const(l)
Arguments
l |
stepsize |
Value
list with 'juliavar', 'juliacode' and the given arguments
Examples
## Not run:
## Needs previous call to `BayesFluxR_setup` which is time
## consuming and requires Julia and BayesFlux.jl
BayesFluxR_setup(installJulia=TRUE, seed=123)
net <- Chain(Dense(5, 1))
like <- likelihood.feedforward_normal(net, Gamma(2.0, 0.5))
prior <- prior.gaussian(net, 0.5)
init <- initialise.allsame(Normal(0, 0.5), like, prior)
x <- matrix(rnorm(5*100), nrow = 5)
y <- rnorm(100)
bnn <- BNN(x, y, like, prior, init)
sadapter <- sadapter.Const(1e-5)
sampler <- sampler.GGMC(sadapter = sadapter)
ch <- mcmc(bnn, 10, 1000, sampler)
## End(Not run)
[Package BayesFluxR version 0.1.3 Index]