merlin: Mixed Effects Regression for Linear, Non-Linear and User-Defined Models

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>.

Getting started

Package details

AuthorEmma Martin [aut], Alessandro Gasparini [aut], Michael Crowther [aut, cre]
MaintainerMichael Crowther <[email protected]>
LicenseGPL (>= 3)
Version0.0.1
URL https://www.mjcrowther.co.uk/software/merlin
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("merlin")

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merlin documentation built on Aug. 16, 2018, 5:04 p.m.