.tramME2ctm

formula

mname

Optional arguments passed to <code><a rd-options="tram" href="/link/tram?package=tramME&version=0.1.3&to=tram" data-mini-rdoc="tram::tram">tram</a></code>

Takes a tramME formula and generates the FE ctm model (model_only = TRUE)

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).

Balint Tamasi

tramME

Transformation Models with Mixed Effects

Torsten Hothorn

.tramME2ctm function

Optional arguments passed to <code><a rd-options='tram' href='tram'>tram</a></code>

.tramME2ctm: Create a corresponding ctm model for a tramME model

Description

Usage

Arguments