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Linear Mixed-Effects Models using 'Eigen' and S4

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TLDR
The core computational algorithms are implemented using the Eigen C++ library for numerical linear algebra and RcppEigen``glue''.
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The article was published on 2015-10-06 and is currently open access. It has received 8543 citations till now.

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Fitting Linear Mixed-Effects Models Using lme4

TL;DR: In this article, a model is described in an lmer call by a formula, in this case including both fixed-and random-effects terms, and the formula and data together determine a numerical representation of the model from which the profiled deviance or the profeatured REML criterion can be evaluated as a function of some of model parameters.
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mediation: R Package for Causal Mediation Analysis

TL;DR: The mediation package implements a comprehensive suite of statistical tools for conducting causal mediation analysis in applied empirical research and implements a statistical method for dealing with multiple (causally dependent) mediators, which are often encountered in practice.
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