FBMS (version 1.3)

predict.mjmcmc_parallel: Predict Using an MJMCMC Result Object from a Parallel Run

Description

Predict Using an MJMCMC Result Object from a Parallel Run

Usage

# S3 method for mjmcmc_parallel
predict(
  object,
  x,
  link = function(x) x,
  quantiles = c(0.025, 0.5, 0.975),
  x_train = NULL,
  ...
)

Value

A list containing aggregated predictions.

mean

Mean of aggregated predictions.

quantiles

Quantiles of aggregated predictions.

Arguments

object

The model to use.

x

The new data to use for the prediction, a matrix where each row is an observation.

link

The link function to use

quantiles

The quantiles to calculate credible intervals for the posterior modes (in model space).

x_train

Training design matrix to be provided when imputations are to be made from them

...

Not used.

Examples

result <- mjmcmc.parallel(runs = 1, 
cores = 1, 
x = matrix(rnorm(600), 100),
y = matrix(rnorm(100), 100), 
loglik.pi = gaussian.loglik)
preds <- predict(result, matrix(rnorm(600), 100))