estimate: Estimating a BNN model using the NUTS default sampler in...
In enweg/quickbnnr: Quick way to implement Bayesian Neural Networks in R and estimating these using Julia's Turing
estimate R Documentation
Estimating a BNN model using the NUTS default sampler in Turing
Description
Estimating a BNN model using the NUTS default sampler in Turing
Usage
estimate(model, niter = 100, nchains = 1)
Arguments
model
model formed using BNN
niter
Number of MCMC iterations
nchains
Number of Chains
Value
Returns a quickbnnr.estimate object with the number of iterations run, the number of chains,
the draws in a format that it can be used with bayesplot, and some additional internal information
enweg/quickbnnr documentation built on April 15, 2022, 3:29 a.m.
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.
| estimate | R Documentation |
Estimating a BNN model using the NUTS default sampler in Turing
Description
Estimating a BNN model using the NUTS default sampler in Turing
Usage
estimate(model, niter = 100, nchains = 1)
Arguments
model |
model formed using |
niter |
Number of MCMC iterations |
nchains |
Number of Chains |
Value
Returns a quickbnnr.estimate object with the number of iterations run, the number of chains, the draws in a format that it can be used with bayesplot, and some additional internal information
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.