parboot.tramME

object

A function that calculates the statistic of interest.

statistic

nsim

Logical, if <code>TRUE</code>, the resampling is conditional on the
fitted vector of random effects.

conditional

optional seed for the random number generator

seed

Optional arguments passed to <code>statistic</code>.

logical or character string; should the result be
 simplified to a vector, matrix or higher dimensional array if
 possible? For <code>sapply</code> it must be named and not abbreviated.
 The default value, <code>TRUE</code>, returns a vector or matrix if appropriate,
 whereas if <code>simplify = "array"</code> the result may be an
 <code><a rd-options="base" href="/link/array?package=tramME&version=0.1.3&to=base" data-mini-rdoc="base::array">array</a></code> of &#8220;rank&#8221;
 (\(=\)<code>length(dim(.))</code>) one higher than the result
 of <code>FUN(X[[i]])</code>.

simplify

parallel

Number of cores to use for parallel computation.

ncpus

Do parametric bootsrap using a tarmME model

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

parboot.tramME function

logical or character string; should the result be
 simplified to a vector, matrix or higher dimensional array if
 possible? For <code>sapply</code> it must be named and not abbreviated.
 The default value, <code>TRUE</code>, returns a vector or matrix if appropriate,
 whereas if <code>simplify = "array"</code> the result may be an
 <code><a rd-options='base' href='array'>array</a></code> of &#8220;rank&#8221;
 (\(=\)<code>length(dim(.))</code>) one higher than the result
 of <code>FUN(X[[i]])</code>.

parboot.tramME: Do parametric bootsrap using a tarmME model

Description

Usage

Arguments

Value