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.

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>.

This will allow easier management of a CRAN-style repository on
    local networks (i.e. not on CRAN). This might be necessary where hosted
    packages contain intellectual property owned by a corporation.

High-dimensional data integration is a critical but difficult problem in genomics research because of potential biases from high-throughput experiments. We present MANCIE, a computational method for integrating two genomic data sets with homogenous dimensions from different sources based on a PCA procedure as an approximation to a Bayesian approach.

Several functions can be used to analyze neuroimaging data using multivariate methods based on the 'msma' package. The functions used in the book entitled "Multivariate Analysis for Neuroimaging Data" (2021, ISBN-13: 978-0367255329) are contained.