merlin_util_ap

merlin object - should not be edited

index for which ancillary parameter to extract

merlin_util_ap - returns the current estimate of the ith ancillary parameter for the associated model

Fits linear, non-linear, and user-defined mixed effects regression models following
the framework developed by Crowther (2017) <arXiv:1710.02223>. 'merlin' can fit multivariate
outcome models of any type, each of which could be repeatedly measured (longitudinal), with
any number of levels, and with any number of random effects at each level. Standard
distributions/models available include the Bernoulli, Gaussian, Poisson, beta,
negative-binomial, and time-to-event/survival models include the exponential,
Gompertz, Royston-Parmar, Weibull and general hazard model. 'merlin' provides a
flexible predictor syntax, allowing the user to define variables, random effects,
spline and fractional polynomial functions, functions of
other outcome models, and any interaction between each of them. Non-linear and
time-dependent effects are seamlessly incorporated into the predictor. 'merlin'
allows multivariate normal random effects, which are integrated out using Gaussian
quadrature or Monte-Carlo integration. Note, 'merlin' is based on the 'Stata' package
of the same name, described in Crowther (2018) <arXiv:1806.01615>.

Michael Crowther

merlin

merlin_util_ap: merlin_util_ap - returns the current estimate of the ith ancillary parameter for the associated model

Description

Usage

Arguments

References