An R interface for the Java Machine Learning for Language Toolkit (mallet)
  <http://mallet.cs.umass.edu/> to estimate probabilistic topic models, such
  as Latent Dirichlet Allocation. We can use the R package to read textual 
  data into mallet from R objects, run the Java implementation of mallet 
  directly in R, and extract results as R objects. The Mallet toolkit 
  has many functions, this wrapper focuses on the topic modeling sub-package 
  written by David Mimno. The package uses the rJava package to connect to a 
  JVM.

Data sets related to the Islas Malvinas /// Sets de datos relacionados a las Islas 
  Malvinas - La Nación Argentina ratifica su legítima e imprescriptible soberanía sobre las islas 
  Malvinas, Georgias del Sur y Sándwich del Sur y los espacios marítimos e insulares 
  correspondientes, por ser parte integrante del territorio nacional. La recuperación de dichos 
  territorios y el ejercicio pleno de la soberanía, respetando el modo de vida de sus habitantes y 
  conforme a los principios del Derecho Internacional, constituyen un objetivo permanente e 
  irrenunciable del pueblo argentino.

The goal of 'mammalcol' is to provide easy access to a meticulously 
            structured dataset of Colombian mammal species in R. The 2025 update includes 
            comprehensive, detailed species accounts, and distribution information.

Designing multi-arm multi-stage studies with (asymptotically) normal endpoints and known variance.

Providing the kubernetes-like class 'ManagedCloudProvider' as a child class of 
  the 'CloudProvider' class in the 'DockerParallel' package. The class is able to
  manage the cloud instance made by the non-kubernetes cloud service.
  For creating a provider for the non-kubernetes cloud service, the developer
  needs to define a reference class inherited from 'ManagedCloudProvider' and
  define the method for the generics runDockerWorkerContainers(),
  getDockerWorkerStatus() and killDockerWorkerContainers(). For more information, please see
  the vignette in this package and <https://CRAN.R-project.org/package=DockerParallel>.