likelihood.seqtoone_tdist {BayesFluxR} | R Documentation |
Use a T-likelihood for a seq-to-one recurrent network.
Description
See likelihood.seqtoone_normal
and likelihood.feedforward_tdist
for details,
Usage
likelihood.seqtoone_tdist(chain, sig_prior, nu = 30)
Arguments
chain |
Network structure obtained using |
sig_prior |
A prior distribution for sigma defined using
|
nu |
DF of TDist |
Value
see likelihood.feedforward_normal
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(RNN(5, 1))
like <- likelihood.seqtoone_tdist(net, Gamma(2.0, 0.5), nu=5)
prior <- prior.gaussian(net, 0.5)
init <- initialise.allsame(Normal(0, 0.5), like, prior)
x <- array(rnorm(5*100*10), dim=c(10,5,100))
y <- rnorm(100)
bnn <- BNN(x, y, like, prior, init)
BNN.totparams(bnn)
## End(Not run)
[Package BayesFluxR version 0.1.3 Index]