predict.gmjmcmc_merged: Predict using a merged gmjmcmc result object.

In FBMS: Flexible Bayesian Model Selection and Model Averaging

Predict using a merged gmjmcmc result object.

Description

Predict using a merged gmjmcmc result object.

Usage

## S3 method for class 'gmjmcmc_merged'
predict(
  object,
  x,
  link = function(x) x,
  quantiles = c(0.025, 0.5, 0.975),
  pop = NULL,
  tol = 1e-07,
  x_train = NULL,
  ...
)

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).
pop	The population to plot, defaults to last
tol	The tolerance to use for the correlation when finding equivalent features, default is 0.0000001
x_train	Training design matrix to be provided when imputations are to be made from them
...	Not used.

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.

Examples

result <- gmjmcmc.parallel(
 runs = 1,
 cores = 1,
 x = matrix(rnorm(600), 100),
 y = matrix(rnorm(100), 100),
 P = 2,
 transforms = c("p0", "exp_dbl")
)
preds <- predict(result, matrix(rnorm(600), 100))

FBMS documentation built on Sept. 13, 2025, 1:09 a.m.