iglm: Fit Images to Generalized Linear Models

In Tokazama/iClass: More intuitive syntax for manipulating imaging data

Description

Fit Images to Generalized Linear Models

Usage

iglm(formula, iData, weights, na.action, method, its, control = list(),
  verbose = TRUE)

Arguments

formula	Object of class formula (or one that can be coerced to that class): a symbolic description of the model to be fitted. The details of model specification are given under ‘Details’.
iData	Object of class iData containing data represented in the provided formula.
weights	An optional vector of ‘prior weights’ to be used in the fitting process. Should be NULL or a numeric vector.
na.action	If "na.omit" then all images with NA values in corresponding variables are omitted. If a function is specified
method	Optimization method "none", "IWLS", or "REML" (default = "none").
its	Number of iterations for optimization to undergo (if method = "IWLS" defaualt = 200, if method = "REML", default = 32).
control	A list of parameters for controlling the fitting process. See iControl for details.
verbose	Enables verbose output. (default = TRUE).

Tokazama/iClass documentation built on May 9, 2019, 4:51 p.m.