formula_setup: Internal Function

In plsmselect: Linear and Smooth Predictor Modelling with Penalisation and Variable Selection

Description

Undocumented function. Do not use directly

Usage

formula_setup(
  formula = NULL,
  response.name = NULL,
  linear.name = NULL,
  smooth.name = NULL,
  family = NULL,
  smooth.penalty = NULL,
  num.knots = NULL,
  offset.name = NULL,
  interactions = F
)

Arguments

formula	A formula to be parsed
response.name	The name of the response variable. Vector of two if family = "binomial"
linear.name	The names of the variables to be used as linear predictors
smooth.name	The names of the variables to be used as smoothers
family	The family describing the error distribution and link function to be used in the model. A character string which can only be "gaussian" (default), "binomial", "poisson" or "cox". For family = "binomial", response can be a vector of two and for family="cox", weights must be provided (see details below).
smooth.penalty	The penalty used on the smoothers. Can be 1 or 2
num.knots	Number of knots for each smoothers. Can be a single integer (recycled for each smoother variable) or a vector of integers the same length as the number of smoothers.
offset.name	The name of the offset variable. NULL (default) if not provided
interactions	logical. Should interactions be included.

plsmselect documentation built on Dec. 1, 2019, 1:11 a.m.