Alexandra Kuznetsova, Per Bruun Brockhoff
numDeriv, Matrix, nlme, lme4, MASS, Hmisc
Performs complete analysis of linear mixed effects models

Simple tools to perform mixture optimization based on the 'desirability' package by Max Kuhn.
It also provides a plot routine using 'ggplot2' and 'patchwork'.

A Random-Forest-Based Approach for Imputing Clustered Incomplete
Data
It offers random-forest-based functions to impute clustered
incomplete data. The package is tailored for but not limited to imputing
multitissue expression data, in which a gene's expression is measured on the
collected tissues of an individual but missing on the uncollected tissues.

Mixtures of Multivariate Shifted Asymmetric Laplace (SAL)
Distributions
Brian C. Franczak [aut, cre], Ryan P. Browne [aut, cph], Paul D. McNicholas [aut, cph], Katherine L. Burak [ctb]
The current version of the 'MixSAL' package allows users to generate data from a multivariate SAL distribution or a mixture of multivariate SAL distributions, evaluate the probability density function of a multivariate SAL distribution or a mixture of multivariate SAL distributions, and fit a mixture of multivariate SAL distributions using the Expectation-Maximization (EM) algorithm (see Franczak et. al, 2014, <doi:10.1109/TPAMI.2013.216>, for details).

c(
person("Brian", "Stock", email = "b1stock@ucsd.edu", role = c("cre","aut")),
person("Brice", "Semmens", email = "semmens@ucsd.edu", role = "aut"),
person("Eric", "Ward", role = "ctb"),
person("Andrew", "Parnell", role = "ctb"),
person("Andrew", "Jackson", role = "ctb"),
person("Donald", "Phillips", role = "ctb"))
Creates and runs Bayesian mixing models to analyze
biological tracer data (i.e. stable isotopes, fatty acids), which estimate the
proportions of source (prey) contributions to a mixture (consumer). 'MixSIAR'
is not one model, but a framework that allows a user to create a mixing model
based on their data structure and research questions, via options for fixed/
random effects, source data types, priors, and error terms. 'MixSIAR' incorporates
several years of advances since 'MixSIR' and 'SIAR', and includes both GUI
(graphical user interface) and script versions.
gWidgets (>= 0.0-54), gWidgetsRGtk2 (>= 0.0-86), splancs (>=
2.01-40), knitr, rmarkdown, testthat
JAGS (>= 4.1) for the script version, both JAGS and
GTK+ for the GUI version. For install instructions, see README
file.
Brian Stock [cre, aut],
Brice Semmens [aut],
Eric Ward [ctb],
Andrew Parnell [ctb],
Andrew Jackson [ctb],
Donald Phillips [ctb]