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merlin  

Mixed Effects Regression for Linear, Non-Linear and User-Defined Models
View on CRAN: Click here


Download and install merlin package within the R console
Install from CRAN:
install.packages("merlin")

Install from Github:
library("remotes")
install_github("cran/merlin")

Install by package version:
library("remotes")
install_version("merlin", "0.1.0")



Attach the package and use:
library("merlin")
Maintained by
Michael Crowther
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-16
Latest Update: 2020-06-29
Description:
Fits linear, non-linear, and user-defined mixed effects regression models following the framework developed by Crowther (2017) . '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) .
How to cite:
Michael Crowther (2018). merlin: Mixed Effects Regression for Linear, Non-Linear and User-Defined Models. R package version 0.1.0, https://cran.r-project.org/web/packages/merlin. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.0.1 (2018-08-16 12:40), 0.0.2 (2020-01-15 19:00)
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