.tramME

an object of class <code>"formula"</code>: a symbolic description 
 of the model structure to be
 fitted. The details of model specification are given under
 Details and in the package vignette.

formula

an optional data frame, list or environment (or object
 coercible by <code>as.data.frame</code> to a data frame) containing the
 variables in the model. If not found in <code>data</code>, the
 variables are taken from <code>environment(formula)</code>.

data

a function which indicates what should happen when the data
 contain <code>NA</code>s. The default is set to <code>na.omit</code>.

na.action

Logical, if TRUE, prints all tracing information.

silent

Logical, if TRUE, creates the model objects, but does not run the optimization.

nofit

List of optional arguments for the optimizer.

optim_control

Likelihood-based estimation of mixed-effects transformation models using the Template
Model Builder (TMB). The technical details of transformation models are given in Hothorn et al. (2018)
<doi:10.1111/sjos.12291>. The random effects are assumed to be normally distributed on the scale of the
transformation function, the marginal likelihood is evaluated using the Laplace approximation,
and the gradients are calculated with automatic differentiation (AD).

.tramME: General ME tram model

Description

Usage

Arguments