mygls: Our generalized least squares ls function
In vici: Vaccine Induced Cellular Immunogenicity with Bivariate Modeling

mygls

R Documentation

Our generalized least squares ls function

Description

Internal function to adapt generalized least squares (gls) model with more details in output.

Usage

mygls(
  model,
  data = sys.frame(sys.parent()),
  correlation = NULL,
  weights = NULL,
  subset,
  method = c("REML", "ML"),
  na.action = na.fail,
  control = list(),
  verbose = FALSE
)

Arguments

`model`	a `formula`.
`data`	a `data.frame` containing variables called in `model`, `correlation`, `weights`, `subset`.
`correlation`	a `corCompSymm` object. Default is `NULL`.
`weights`	a `varIdent` object. Default is `NULL`.
`subset`	an optional expression indicating which subset of the rows of `data` should be used in the fit. By default, all observations are included.
`method`	a character string to choose the maximization method. Default is "`REML`".
`na.action`	a function that indicates what should happen when the data contain NAs. Default is `na.fail`.
`control`	a list of control values. Default is an empty list.
`verbose`	an optional logical value. If TRUE information on the evolution of the iterative algorithm is printed. Default is FALSE.