c(person("Jahajeeah", "Havisha",
email = "hjahajeeah@utm.ac.mu",
role = c("aut", "cre")),
person("Saib", "Aslam Aly",
email = "asaib@utm.ac.mu",
role = c("aut")))
Jahajeeah Havisha [aut, cre],
Saib Aslam Aly [aut]

This package converts a spatial object from class
SpatialGridDataFrame to SpatialPolygonsDataFrame.

Converts a spatial object from class SpatialGridDataFrame to
SpatialPolygonsDataFrame.

person(given=c("Jason", "C."), family="Fisher", role=c("aut", "cre"), email="jfisher@usgs.gov")

The functionality of this package has been deprecated;
please use the Grid2Polygons function in the inlmisc package instead.
Converts a spatial object from class sp::SpatialGridDataFrame to
sp::SpatialPolygonsDataFrame.
inlmisc (>= 0.3.0), methods, raster, rgeos, sp

Joint Discretization of Data on a Grid that Preserves Clusters
c(person(given = "Jiandong",
family = "Wang",
role = "aut",
email = "wangjd24@nmsu.edu"),
person(given = "Sajal",
family = "Kumar",
role = c("aut"),
email = "kumarsajal49@gmail.com",
comment = c(ORCID = "0000-0003-0930-1582")),
person(given = "Joe",
family = "Song",
role = c("aut", "cre"),
email = "joemsong@cs.nmsu.edu",
comment = c(ORCID = "0000-0002-6883-6547")))
Jiandong Wang [aut],
Sajal Kumar [aut] (<https://orcid.org/0000-0003-0930-1582>),
Joe Song [aut, cre] (<https://orcid.org/0000-0002-6883-6547>)
Discretize continuous multivariate 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 in methods inferring dependency by
association, function, or causality with assuming a parametric
model.
Ckmeans.1d.dp, FunChisq, knitr, testthat (>= 2.1.0),
rmarkdown

c(person(given = "Jiandong",
family = "Wang",
role = "aut",
email = "wangjd24@nmsu.edu"),
person(given = "Sajal",
family = "Kumar",
role = "aut",
email = "sajal49@nmsu.edu",
comment = c(ORCID = "0000-0003-0930-1582")),
person(given = "Joe",
family = "Song",
role = c("aut", "cre"),
email = "joemsong@cs.nmsu.edu",
comment = c(ORCID = "0000-0002-6883-6547")))
Discretize continuous multivariate 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.