coefficients: Extract Model Coefficients

In bayesGAM: Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo

Extract Model Coefficients

Description

Method for bayesGAMfit objects. Extracts the specified quantile of the posterior. The user may specify all or some of the parameters β, ε, λ, u, sigma, a.

Usage

## S4 method for signature 'bayesGAMfit'
coefficients(
  object,
  params = c("beta", "eps", "lambda", "u", "sigma", "a"),
  FUN = median
)

## S4 method for signature 'bayesGAMfit'
coef(
  object,
  params = c("beta", "eps", "lambda", "u", "sigma", "a"),
  FUN = median
)

Arguments

object	an object of class bayesGAMfit, usually a result of a call to bayesGAM.
params	character vector of the names of parameters to return β beta ε eps λ lambda a] a
FUN	function from which to estimate coefficients. Default is median

Value

Numeric vector of parameter point estimates based on the given prob, with a default of the median estimate.

Examples

require(stats); require(graphics)
f <- bayesGAM(weight ~ np(height), data = women, family = gaussian, 
              iter = 500, chains = 1)
coef(f, params=c("beta", "eps"))

bayesGAM documentation built on March 18, 2022, 6:29 p.m.