FBMS (version 1.1)

predict.gmjmcmc_parallel: Predict using a gmjmcmc result object from a parallel run.

Description

Predict using a gmjmcmc result object from a parallel run.

Usage

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

Value

A list containing aggregated predictions and per model predictions.

aggr

Aggregated predictions with mean and quantiles.

preds

A list of lists containing individual predictions per model per population in object.

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).

...

Additional arguments to pass to merge_results.

Examples

result <- gmjmcmc.parallel(
 runs = 1,
 cores = 1,
 list(populations = "best", complex.measure = 2, tol = 0.0000001),
 matrix(rnorm(600), 100),
 P = 2,
 gaussian.loglik,
 loglik.alpha = gaussian.loglik.alpha,
 c("p0", "exp_dbl")
)
preds <- predict(result$results, matrix(rnorm(600), 100))