lavaan, boot, parallel, pbapply, stats, ggplot2, igraph

Tools for Matrix Algebra, Optimization and Inference
Matrix is an universal and sometimes primary object/unit in applied mathematics and statistics. We provide a number of algorithms for selected problems in optimization and statistical inference. For general exposition to the topic with focus on statistical context, see the book by Banerjee and Roy (2014, ISBN:9781420095388).
Rcpp, Rdpack, RSpectra, Matrix, shapes, stats, utils

Rcpp, Rdpack, RSpectra, Matrix, mclust, shapes, stats, utils

Rcpp, Rdpack, RSpectra, Matrix, cluster, mclust, shapes,
stats, utils

Matrix, Rcpp, Rdpack, RSpectra, Rtsne, cluster, labdsv,
shapes, stats, utils

Matrix, Rcpp, Rdpack, RSpectra, Rtsne, cluster, labdsv, nabor,
shapes, stats, utils

Matrix, Rcpp, Rdpack, RSpectra, Rtsne, cluster, labdsv, nabor,
shapes, stats, utils, fastcluster, dbscan

Matrix, Rcpp, Rdpack, RSpectra, Rtsne, cluster, labdsv, nabor,
shapes, stats, utils, fastcluster, dbscan, reticulate

Matrix, Rcpp, Rdpack, RSpectra, Rtsne, RANN, cluster, labdsv,
shapes, stats, utils, fastcluster, dbscan

c(person("Kisung", "You", role = c("aut", "cre"),email = "kisungyou@outlook.com",comment=c(ORCID="0000-0002-8584-459X")))

Create static choropleth maps of Denmark using the ggplot2 package.

Peter Hu and Jared Lunceford, with contributions from
Xiang Yu, Bret Musser and Peggy Wong
mapLD measures linkage disequilibrium and constructs
haplotype blocks using the method described
in Gabriel et al (2002) and Wall & Prichard (2003).

Peter Hu and Jared Lunceford, with contributions from Xiang Yu,
Bret Musser and Peggy Wong
mapLD measures linkage disequilibrium and constructs
haplotype blocks using the method described in Gabriel et al
(2002) and Wall & Prichard (2003).

Producing Administrative Boundary Map with Additional Features
Embedded
Mazharul Islam, Jahidur Rahman Khan and Hasinur Rahaman Khan

mapReduce - flexible mapReduce algorithm for parallel
computation
mapReduce is an algorithm provides a simple framework for
parallel computations.  This implementation provides (a) a pure
R implementation (b) a syntax following the mapReduce paper and
(c) flexible and parallelizable back end.