Package: largeVis
Type: Package
Title: High-Quality Visualizations of Large, High-Dimensional Datasets
Version: 0.1.10.2
Author: Amos B. Elberg
Maintainer: Amos Elberg <amos.elberg@gmail.com>
Description: Implements the largeVis algorithm (see Tang, et al. (2016)  <https://arxiv.org/abs/1602.00370>) for visualizing very large high-dimensional datasets. Also very fast search for approximate nearest neighbors; outlier detection; and optimized implementations of the HDBSCAN*, DBSCAN and OPTICS clustering algorithms; plotting functions for visualizing the above.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: R (>= 3.0.2), Matrix
Imports: Rcpp (>= 0.12.4), ggplot2 (>= 0.9.2.1), dbscan
LinkingTo: Rcpp,RcppProgress (>= 0.2.1),RcppArmadillo (>=
        0.7.200.2.0),testthat(>= 1.0.2)
Suggests: testthat, covr, knitr, rmarkdown, wesanderson, RColorBrewer,
        dplyr, png, magrittr
URL: https://github.com/elbamos/largeVis
BugReports: https://github.com/elbamos/largeVis/issues
NeedsCompilation: yes
BuildVignettes: TRUE
VignetteBuilder: knitr
SystemRequirements: C++11
Packaged: 2016-11-26 22:34:04 UTC; aelberg
Repository: CRAN
Date/Publication: 2016-11-27 02:28:57
Built: R 3.3.2; x86_64-w64-mingw32; 2016-12-02 04:23:26 UTC; windows
Archs: i386, x64
