README.md
In mlysy/losmix: Inference for Gaussian Location-Scale Mixed-Effects Models
losmix: Inference for Gaussian Location-Scale Mixed-Effects Models
Martin Lysy
Description
Tools for fitting Gaussian linear mixed-effects models where both the mean and variance terms are random. Marginal likelihoods are compiled in C++ with automatic differentiation using the TMB library, such that efficient gradient-based optimization algorithms can be readily employed. The package provides C++ entry points for users to extend the basic model with minimal effort.
Installation
Install the R package devtools and run
devtools::install_github("mlysy/losmix")
Usage
Please see package vignette.
mlysy/losmix documentation built on Jan. 18, 2021, 5:56 a.m.
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losmix: Inference for Gaussian Location-Scale Mixed-Effects Models
Martin Lysy
Description
Tools for fitting Gaussian linear mixed-effects models where both the mean and variance terms are random. Marginal likelihoods are compiled in C++ with automatic differentiation using the TMB library, such that efficient gradient-based optimization algorithms can be readily employed. The package provides C++ entry points for users to extend the basic model with minimal effort.
Installation
Install the R package devtools and run
devtools::install_github("mlysy/losmix")
Usage
Please see package vignette.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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