predict.mjmcmc_parallel {FBMS}

Predict using a mjmcmc result object from a parallel run.

Description

Predict using a mjmcmc result object from a parallel run.

Usage

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

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 moddes (in model space).

...

Not used.

Value

A list containing aggregated predictions.

mean

Mean of aggregated predictions.

quantiles

Quantiles of aggregated predictions.

Examples

result <- mjmcmc.parallel(runs = 1, cores = 1, matrix(rnorm(600), 100), gaussian.loglik)
preds <- predict(result, matrix(rnorm(500), 100))