parameter: Extract Model Parameters from a Fitted NBKP Model

In NBKP: Beta Kernel Process Modeling with Negative Binomial Response

Extract Model Parameters from a Fitted NBKP Model

Description

Retrieve the key model parameters from a fitted NBKP object. This includes the optimized kernel hyperparameters, posterior Gamma parameters, and the negative‑binomial dispersion parameter.

Usage

parameter(object, ...)

## S3 method for class 'NBKP'
parameter(object, ...)

Arguments

object	An object of class NBKP, typically the result of a call to fit_NBKP.
...	Additional arguments (currently unused).

Value

A named list containing:

• theta: Estimated kernel hyperparameters.

• phi: Negative‑binomial dispersion parameter.

• alpha_n: Posterior Gamma \alpha parameters.

• beta_n: Posterior Gamma \beta parameters.

References

Zhao J, Qing K, Xu J (2025). BKP: An R Package for Beta Kernel Process Modeling. arXiv. https://doi.org/10.48550/arxiv.2508.10447.

See Also

fit_NBKP for fitting NBKP models.

Examples

set.seed(123)

# Define true mean function
true_mu_fun <- function(x) {
  exp(sin(x) + 0.5)
}

n <- 30
Xbounds <- matrix(c(-2, 2), nrow = 1)
X <- tgp::lhs(n = n, rect = Xbounds)
true_mu <- true_mu_fun(X)
y <- rnbinom(n, size = 1, mu = true_mu)

# Fit NBKP model
model <- fit_NBKP(X, y, Xbounds = Xbounds)

# Extract posterior and kernel parameters
parameter(model)

NBKP documentation built on June 18, 2026, 1:06 a.m.