Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.

Authors@R: c(person("Shivaram", "Venkataraman", role = "aut",
person("Felix", "Cheung", role = c("aut", "cre"),
Suggests: knitr, rmarkdown, markdown, testthat, e1071, survival, arrow

Title: 'HJ Biplot' using Different Ways of Penalization
Ana Belen Nieto Librero <ananieto@usal.es> and
Description: Contains a set of functions that allow to represent multivariate on a subspace of low dimension, in such a way that most of the variability of the information is captured. This representation is carried out through the 'HJ Biplot' methodology. A first method performs the 'HJ Biplot'.Then, the package implements three new techniques and constructs in each case the 'HJ Biplot', adapting restrictions to contract and / or produce zero charges in the main components, using three methods of regularization: Ridge, LASSO and Elastic Net.

Title: 'HJ-Biplot' using Different Ways of Penalization Plotting with
Purificacion Galindo Villardon <pgalindo@usal.es> and
Maintainer: Mitzi Isabel Cubilla-Montilla <mitzi@usal.es>
Description: 'HJ-Biplot' is a multivariate method that allow represent multivariate data on a subspace of low dimension, in such a way that most of the variability of the information is captured in a few dimensions. This package implements three new techniques and constructs in each case the 'HJ-Biplot', adapting restrictions to reduce weights and / or produce zero weights in the dimensions, based on the regularization theories. It implements three methods of regularization: Ridge, LASSO and Elastic Net.
Imports: ggrepel, gtable, rlang, stats, sparsepca, testthat

Title: Sparse Cholesky LDL Decomposition of Symmetric Matrices
Authors@R: c(person("Sam", "Watson", email = "S.I.Watson@bham.ac.uk",
person("Timothy A.", "Davis", role = c("aut","ctb")))
Description: 'C++' implementation of sparse LDL decomposition of symmetric matrices and solvers described by Timothy A. Davis (2016)
<https://fossies.org/linux/SuiteSparse/LDL/Doc/ldl_userguide.pdf>. Provides the header file
'SparseChol.h' that specifies the 'SparseChol' class to implement sparse LDL decomposition in 'Rcpp' functions. A limited
set of 'R' functions that implement the method are also included.