predict.bnns: Predictions from a fitted Bayesian Neural Network

In bnns: Bayesian Neural Network with 'Stan'

Predictions from a fitted Bayesian Neural Network

Description

Predictions from a fitted Bayesian Neural Network

Usage

## S3 method for class 'bnns'
predict(
  object,
  newdata = NULL,
  type = c("samples", "mean", "median", "quantile", "prob", "class"),
  quantiles = c(0.025, 0.975),
  ...
)

Arguments

object	A fitted bnns model object.
newdata	A data frame containing new data for prediction. If not provided, the predictions will be generated using the training data.
type	Character string indicating the type of prediction. Options are "samples" (default), "mean", "median", "quantile", "prob" (class probabilities), or "class" (predicted class labels).
quantiles	Numeric vector of probabilities used when type = "quantile". Default is c(0.025, 0.975).
...	Additional arguments passed to internal prediction methods.

Value

• For type = "samples": A matrix (regression/binary) or 3D array (multiclass) of posterior predictions.

• For type = "mean" or "median": A vector or matrix of aggregated predictions. For classification tasks, type = "mean" returns the posterior mean class probabilities.

• For type = "quantile": A matrix or array of quantiles.

• For type = "prob": A matrix of class probabilities (for classification models).

• For type = "class": A vector of predicted class labels (for classification models).

bnns documentation built on June 8, 2026, 1:06 a.m.