hglm_model: Create a HGLM Model

In holiglm: Holistic Generalized Linear Models

Create a HGLM Model

Description

Create a HGLM model object.

Usage

hglm_model(
  x,
  y,
  family = gaussian(),
  weights = NULL,
  frame = NULL,
  solver = "auto",
  approx = FALSE
)

Arguments

x	a numeric matrix giving the design matrix.
y	a vector giving the response variables.
family	a description of the error distribution and link function to be used in the model.
weights	an optional vector of 'prior weights' to be used for the estimation.
frame	an optional model frame object.
solver	a character string giving the name of the solver to be used for the estimation.
approx	a logical; if TRUE uses linear approximation of log-likelihood.

Details

No standardization prior to fitting the model takes place. If a x or y standardization is wanted, the user has to do this beforehand.

Value

An object of class "hglm_model".

Examples

dat <- rhglm(100, c(1, 2, -3, 4, 5, -6))
x <- model.matrix(y ~ ., data = dat)
hglm_model(x, y = dat[["y"]])

holiglm documentation built on April 3, 2025, 7:09 p.m.