SurvregME: Mixed-effects version of 'Survreg'

In tramME: Transformation Models with Mixed Effects

Mixed-effects version of Survreg

Description

Mixed-effects version of Survreg

Usage

SurvregME(
  formula,
  data,
  subset,
  weights,
  offset,
  na.action = na.omit,
  dist = c("weibull", "logistic", "gaussian", "exponential", "rayleigh", "loggaussian",
    "lognormal", "loglogistic"),
  scale = 0,
  silent = TRUE,
  resid = FALSE,
  do_update = FALSE,
  estinit = TRUE,
  initpar = NULL,
  fixed = NULL,
  nofit = FALSE,
  control = optim_control(),
  ...
)

Arguments

formula	an object of class "formula": a symbolic description of the model structure to be fitted. The details of model specification are given under tram and in the package vignette.
data	an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula).
subset	an optional vector specifying a subset of observations to be used in the fitting process.
weights	an optional vector of weights to be used in the fitting process. Should be NULL or a numeric vector. If present, the weighted log-likelihood is maximised.
offset	this can be used to specify an _a priori_ known component to be included in the linear predictor during fitting. This should be NULL or a numeric vector of length equal to the number of cases.
na.action	a function which indicates what should happen when the data contain NAs. The default is set by the na.action setting of options, and is na.fail if that is unset.
dist	character defining the conditional distribution of the (not necessarily positive) response, current choices include Weibull, logistic, normal, exponential, Rayleigh, log-normal (same as log-gaussian), or log-logistic.
scale	a fixed value for the scale parameter(s).
silent	logical, make TMB functionality silent
resid	logical, Should the score residuals also be calculated?
do_update	Logical. If TRUE, the model is set up so that the weights and the offsets are updateable. This comes with some performance cost.
estinit	logical, estimate a vector of initial values for the fixed effects parameters from a (fixed effects only) mlt model
initpar	named list of initial parameter values, if NULL, it is ignored
fixed	a named vector of fixed regression coefficients; the names need to correspond to column names of the design matrix
nofit	logical, if TRUE, creates the model object, but does not run the optimization
control	list with controls for optimization
...	additional arguments to tram.

Value

A SurvregME object.

tramME documentation built on April 4, 2023, 3:01 p.m.