zinbgam: Zero-inflated Negative Binomial GAM

In AustralianAntarcticDataCentre/zigam: EM implementation of zero-inflated GAMs

Zero-inflated Negative Binomial GAM

Description

Fit a zero-inflated Negative Binomial Generalized Additive Model using the EM Algorithm

Usage

zinbgam(
  mu.formula,
  pi.formula,
  data,
  knots = NULL,
  mu = NULL,
  pi = NULL,
  theta = 1,
  gamma.pi = 1,
  gamma.mu = 1,
  select = FALSE,
  method = "GCV.Cp",
  min.em = 5,
  max.em = 50,
  tol = 0.01
)

Arguments

mu.formula	formula for the count model
pi.formula	formula for the binary model
data	a data frame or list containing the model response variable and covariates required by the formula.
knots	an optional list of knot values to be used for basis construction.
mu	initial mu vector
pi	intial pi vector
theta	initial theta value
gamma.pi	binary model gamma
gamma.mu	count model gamma
select	include model selection penalty
method	method for selecting smoothing parameters
min.em	minimum number of EM iterations
max.em	maximum number of EM iterations
tol	tolerance (default=1.0E-2)

AustralianAntarcticDataCentre/zigam documentation built on June 30, 2023, 11:49 a.m.