Identifies constant, additive, multiplicative, and user-defined 
    simplivariate components in numeric data matrices using a genetic algorithm. 
    Supports flexible pattern definitions and provides visualization for 
    general biclustering applications across diverse domains. The method builds 
    on simplivariate models as introduced in Hageman et al. (2008) 
    <doi:10.1371/journal.pone.0003259> and is related to biclustering 
    frameworks as reviewed by Madeira and Oliveira (2004) <doi:10.1109/TCBB.2004.2>.

Provides methods to integrate functions over m-dimensional simplices
 in n-dimensional Euclidean space.  There are exact methods for polynomials and
 adaptive methods for integrating an arbitrary function.

Network sparsification with a variety of novel and known network sparsification 
    techniques. All network sparsification techniques reduce the number of edges, not the number 
    of nodes. Network sparsification is sometimes referred to as network dimensionality reduction. 
    This package is based on the work of Spielman, D., Srivastava, N. (2009)<arXiv:0803.0929>.
    Koutis I., Levin, A., Peng, R. (2013)<arXiv:1209.5821>. Toivonen, H., Mahler, S., Zhou, F. 
    (2010)<doi:10.1007>. Foti, N., Hughes, J., Rockmore, D. (2011)<doi:10.1371>.

Reliability and agreement analyses often have limited software support. Therefore, this package was created to make agreement and reliability analyses easier for the average researcher. The functions within this package include simple tests of agreement, agreement analysis for nested and replicate data, and provide robust analyses of reliability. In addition, this package contains a set of functions to help when planning studies looking to assess measurement agreement.

An extension of the 'AlphaSimR' package
  (<https://cran.r-project.org/package=AlphaSimR>) for stochastic simulations of
  honeybee populations and breeding programmes. 'SIMplyBee' enables simulation of
  individual bees that form a colony, which includes a queen, fathers (drones
  the queen mated with), virgin queens, workers, and drones. Multiple colony can
  be merged into a population of colonies, such as an apiary or a whole country
  of colonies. Functions enable operations on castes, colony, or colonies, to
  ease 'R' scripting of whole populations. All 'AlphaSimR' functionality with
  respect to genomes and genetic and phenotype values is available and further
  extended for honeybees, including haplo-diploidy, complementary sex determiner
  locus, colony events (swarming, supersedure, etc.), and colony phenotype values.