.mod_negative

<p>tram model name: Lm, BoxCox, Colr, Polr, Coxph, Survreg, Lehmann,
Aareg, or the suffixed versions of these (e.g. ColrME). Ignored when a <code>ctm</code> model
is also supplied.</p>

tram

<p>Helper function to figure out if negative = TRUE in a given model</p>

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

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.mod_negative: Helper function to figure out if negative = TRUE in a given model

Description

Usage

Arguments