merlin swMATH ID: 34074 Software Authors: Emma Martin, Alessandro Gasparini, Michael Crowther Description: R package 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>. Homepage: https://cran.r-project.org/web/packages/merlin/index.html Source Code: https://github.com/cran/merlin Dependencies: R Keywords: joint modelling; multi-outcome; mixed effects; survival; R; merlin; R package Related Software: JM; joineRML; joineR; bamlss; coxme; frailtypack; nlme; JMbayes; R; JSM; GitHub; JointModel; STJM; randtoolbox Cited in: 1 Publication Standard Articles 1 Publication describing the Software Year merlin: An R package for Mixed Effects Regression for Linear, Nonlinear and User-defined models Emma C. Martin, Alessandro Gasparini, Michael J. Crowther 2020 Cited by 4 Authors 1 Crowther, Michael J. 1 Hickey, Graeme L. 1 Kolamunnage-Dona, Ruwanthi 1 Philipson, Pete Cited in 1 Serial 1 Computational Statistics and Data Analysis Cited in 1 Field 1 Statistics (62-XX) Citations by Year