Discretize multivariate continuous data using a grid
that captures the joint distribution via preserving clusters in
the original data. Joint grid discretization is applicable as a
data transformation step before using other methods to infer
association, function, or causality without assuming a
parametric model.

Cluster-Preserving Multivariate Joint Grid Discretization
Discretize multivariate continuous data using a grid
that captures the joint distribution via preserving clusters in
the original data (Wang et al. 2020). Joint grid discretization
is applicable as a data transformation step to prepare data for
model-free inference of association, function, or causality.
Rcpp, cluster, fossil, dqrng, Rdpack, plotrix

Discretize multivariate continuous data using a grid
that captures the joint distribution via preserving clusters in
the original data (Wang et al. 2020) <doi:10.1145/3388440.3412415>.
Joint grid discretization is applicable as a data transformation step
to prepare data for model-free inference of association, function, or
causality.
Rcpp, Ckmeans.1d.dp, cluster, fossil, dqrng, mclust, Rdpack,
plotrix
FunChisq, knitr, testthat (>= 2.1.0), rmarkdown

Executes functions on remote hosts, clusters or grids.
Dennis Wegener, Malte Lohmeyer, Stefan Rueping
GridR is an R-Package that can be used to submit R functions for execution on remote computers, clusters or grids. In addition, users are provided with an interface to share variables and functions with other users.

Uses Grieg-Smith method on 2 dimentional spatial data
The function GriegSmith accepts either quadrat count data,
a point process object(ppp) or a matrix of x and y coordinates.
The function calculates a nested analysis of variance and
simulation envelopes.

Calculate Optical Parameters from Spindle Stage Measurements
Calculates optical parameters of crystals like the optical
axes, the axis angle 2V, and the direction of the principal axes of
the indicatrix from extinction angles measured on a spindle stage
mounted on a polarisation microscope stage. Details of the method can be found in Dufey (2017) <arXiv:1703.00070>.