Skip to contents

Hubbell regression This function mimics the GLM structure. We do so to avoid conflicts with the current glm implementation (if it gets updated)

Usage

HubbellGLM(
  formula,
  family = hubbell(sigma = 0),
  data,
  weights,
  subset,
  na.action,
  start = NULL,
  etastart,
  mustart,
  offset,
  control = list(...),
  model = TRUE,
  x = FALSE,
  y = TRUE,
  singular.ok = TRUE,
  contrasts = NULL,
  ...
)

Arguments

formula

Same as stats::glm

family

a member of the hubbell family for glm.fit.hubbell.

data

Same as stats::glm

weights

Same as stats::glm

subset

Same as stats::glm

na.action

Same as stats::glm

start

Same as stats::glm

etastart

Same as stats::glm

mustart

Same as stats::glm

offset

Same as stats::glm

control

Same as stats::glm

model

Same as stats::glm

x

Same as stats::glm

y

Same as stats::glm

singular.ok

Same as stats::glm

contrasts

Same as stats::glm

...

Same as stats::glm

Value

An object of class c('HubbellGLM', 'lm'), which inherits from the class "lm"