Handy helper package for cross-referencing lake identifiers 
    among different data sets in the Midwestern United States. There are 
    multiple different state, regional, and federal agencies that have 
    different identifiers on lakes. This package helps you to go between them.

Implements random  number generation, plotting, and estimation algorithms for the two-parameter one-sided and two-sided M-Wright (Mainardi-Wright) family.
             The M-Wright  distributions naturally generalize the widely used one-sided (Airy and half-normal or half-Gaussian) and symmetric (Airy and Gaussian or normal) models. 
             These are widely studied in time-fractional differential equations. References: Cahoy and Minkabo (2017) <doi:10.3233/MAS-170388>; Cahoy (2012) <doi:10.1007/s00180-011-0269-x>; Cahoy (2012) <doi:10.1080/03610926.2010.543299>; Cahoy (2011); Mainardi, Mura, and Pagnini (2010) <doi:10.1155/2010/104505>.

A simple function, mwsApp(), that runs a 'shiny' app spanning multiple,
  connected windows. This uses all standard 'shiny' conventions, and depends only on
  the 'shiny' package.

For single tensor data, any matrix factorization method can be specified the matricised tensor in each dimension by Multi-way Component Analysis (MWCA). An originally extended MWCA is also implemented to specify and decompose multiple matrices and tensors simultaneously (CoupledMWCA). See the reference section of GitHub README.md <https://github.com/rikenbit/mwTensor>, for details of the methods.

Computes Control limits, coefficients of control limits, various performance metrics  and depicts control charts for monitoring Maxwell-distributed quality characteristics.

Methods and tools for deriving spatial summary functions from single-cell imaging
  data and performing functional data analyses. Functions can be applied to other single-cell
  technologies such as spatial transcriptomics. Functional regression and functional principal component analysis methods
  are in the 'refund' package <https://cran.r-project.org/package=refund> while calculation of the
  spatial summary functions are from the 'spatstat' package <https://spatstat.org/>.