plot {bhetGP} | R Documentation |
Plots object from bhetGP
package
Description
Acts on a bhetgp
, bhetgp_vec
, bhomgp
or,
bhomgp_vec
object. Generates trace plots for log likelihood of
mean and noise process, length scales of corresponding processes,
scale parameters and the nuggets.
Generates plots of hidden layers for one-dimensional inputs. Generates
plots of the posterior mean and estimated 90% prediction intervals for
one-dimensional inputs; generates heat maps of the posterior mean and
point-wise variance for two-dimensional inputs.
Usage
## S3 method for class 'bhetgp'
plot(x, trace = NULL, predict = NULL, verb = TRUE, ...)
## S3 method for class 'bhomgp'
plot(x, trace = NULL, predict = NULL, verb = TRUE, ...)
## S3 method for class 'bhetgp_vec'
plot(x, trace = NULL, predict = NULL, verb = TRUE, ...)
## S3 method for class 'bhomgp_vec'
plot(x, trace = NULL, predict = NULL, verb = TRUE, ...)
Arguments
x |
object of class |
trace |
logical indicating whether to generate trace plots (default is
TRUE if the object has not been through |
predict |
logical indicating whether to generate posterior predictive
plot (default is TRUE if the object has been through |
verb |
logical indicating whether to print plot. |
... |
N/A |
Details
Trace plots are useful in assessing burn-in. If there are too
many hyperparameters to plot them all, then it is most useful to
visualize the log likelihood (e.g., plot(fit$ll, type = "l")
).
Value
...N/A