reshape, methods, lattice, grid, XML, MASS

Pharmacometric tools for common data preparation tasks,
stratified bootstrap resampling of data sets, NONMEM control
stream creation/editing, NONMEM model execution, creation of
standard and user-defined diagnostic plots, execution and
summary of bootstrap and predictive check results,
implementation of simulations from posterior parameter
distributions, reporting of output tables and creation of
detailed analysis logs.  Deprecated.  Please see the
replacement package: metrumrg.

Mixture summary method for multiple imputation
Russell Steele, Naisyin Wang, and Adrian Raftery
Tools to combine results for multiply-imputed data using
mixture approximations

Surojit Biswas, Meredith McDonald, Derek S. Lundberg, Jeffery L. Dangl,
Vladimir Jojic
Learns direct microbe-microbe interaction networks using a Poisson
multivariate-normal hierarchical model with an L1 penalized precision
matrix. Optimization is carried out using an iterative conditional modes
algorithm.

Package to compute the maximum kernel likelihood estimator (MKLE) for mu.

Package for fast computation of the maximum kernel likelihood estimator (mkle)

Package for fast computation of the maximum kernel
likelihood estimator (mkle)

Package for fast computation of the maximum kernel likelihood estimator (mkle).

A Modern K-Means (MKMeans) Clustering Algorithm
It's a modern K-Means clustering method with no limitation on the selection of initial centers but only the number of clusters is needed.

c(person("Yi", "Ya", role=c("aut","cre"),email="Yi.YA_yaya@hotmail.com"),
person("Yarong", "Yang", role="aut", email="yarongyang78@yahoo.com"),
person("Nader", "Ebrahimi", role="aut", email="nebrahimi@niu.edu"),
person("Yoram", "Rubin", role="aut", email="rubin@ce.berkeley.edu"),
person("Jacob", "Zhang", role="aut", email="zjz999@gmail.com"))
It's a Modern K-Means clustering algorithm allowing data of any number of dimensions, any initial center, and any number of clusters to expect.
Yi Ya [aut, cre],
Yarong Yang [aut],
Nader Ebrahimi [aut],
Yoram Rubin [aut],
Jacob Zhang [aut]