tramTMB_inputs

a list describing the structure of the model as returned by <code>tramME_model</code>

model

fixed effects terms as returned by the function <code>fe_terms</code>

random effects terms as returned by the function <code>re_terms</code>

model frame containing offsets and weights

data

optional named list of initial parameter values

param

The function generates random values for <code>NA</code> values in the list of initial parameter
values.

Likelihood-based estimation of mixed-effects transformation models using the Template
Model Builder (TMB, Kristensen et al., 2016, <doi:10.18637/jss.v070.i05>). The technical details
of transformation models are given in Hothorn et al. (2018, <doi:10.1111/sjos.12291>). Likelihood
contributions of exact, randomly censored (left, right, interval) and truncated observations are
supported. 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).

tramTMB_inputs: Create inputs of the tramTMB model

Description

Usage

Arguments

Value