Kernel Operations on GPU or CPU, with Autodiff, without Memory
Overflows
The 'KeOps' library lets you compute generic reductions of very
large arrays whose entries are given by a mathematical formula with CPU and
GPU computing support. It combines a tiled reduction scheme with an
automatic differentiation engine. It is perfectly suited to the efficient
computation of Kernel dot products and the associated gradients, even when
the full kernel matrix does not fit into the GPU memory.
Rcpp (>= 1.0.1), RhpcBLASctl, openssl (>= 1.3), stringr (>=
1.4.0)

C++11, cmake (>= 3.10), clang (optional), CUDA
(recommended)

Random KNN Classification and Regression
Hmisc, Biobase, genefilter, golubEsets, chemometrics

Random knn classification and regression are implemented. Random knn based feature selection methods are also included. The approaches are mainly developed for high-dimensional data with small sample size.

Mann-Kendall test, Seasonal and Regional Kendall Tests
Contains function rkt which computes the Mann-Kendall test
(MK) and the Seasonal and the Regional Kendall Tests for trend
(SKT and RKT) and Theil-Sen's slope estimator.

Contains function rkt which computes the Mann-Kendall test (MK) and the Seasonal and the Regional Kendall Tests for trend (SKT and RKT) and  Theil-Sen's slope estimator.

Mann-Kendall Test, Seasonal and Regional Kendall Tests

c(
person("Vehbi Sinan", "Tunalioglu",
email="vst@vsthost.com",
role=c("aut", "cre")))
This package provides functionality to read files
containing observations which consist of arbitrary key/value
pairs.

Generates random landscapes with specifiable spatial
characteristics
Gregor Passolt, Miranda J. Fix, Sandor F. Toth
spatstat, deldir (>= 0.0-19), gWidgets, gWidgetsRGtk2
Rlandscape is a tool for generating data (forests divided
into management units) for testing harvest scheduling models.
It enables the user to create large amounts of sample forests
while maintaining control over some spatial properties of the
data, such as the degree and area distributions.
'rland.R' 'rland.gui.R' 'rland.points.R' 'rland.utils.R'
'rlandscape.R' 'plot.landscape.R'