Description: Implements the largeVis algorithm (see Tang, et al. (2016)  <https://arxiv.org/abs/1602.00370>) for visualizing very large high-dimensional datasets; very fast search for approximate nearest neighbors; outlier detection; optimized implementation of the HDBSCAN clustering algorithm; plotting functions for visualizing the above.
Packaged: 2016-09-12 16:01:13 UTC; amos.elberg

Description: Implements the largeVis algorithm (see Tang, et al. (2016)  <DOI:10.1145/2872427.2883041>) 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.
LinkingTo: Rcpp (>= 0.12.4),RcppProgress (>= 0.2.1),RcppArmadillo (>=
Suggests: ggforce, testthat, knitr, rmarkdown, png, dbscan
X-CRAN-Comment: Orphaned and corrected on 2018-02-16 as check errors

Title:		Least Angle Regression, Lasso and Forward Stagewise
Author:		Trevor Hastie <hastie@stanford.edu> and Brad Efron
Description:	Efficient procedures for fitting an entire lasso
sequence with the cost of a single least squares
fit. Least angle regression and infinitessimal forward
stagewise regression are related to the lasso, as

Packaged: Thu Sep 16 12:54:54 2004; hastie

Packaged: Tue Apr 17 09:15:38 2007; hornik

Packaged: Wed Feb 25 08:59:31 2009; hornik

Title: Least Angle Regression, Lasso and Forward Stagewise
Author: Trevor Hastie <hastie@stanford.edu> and Brad Efron
Description: Efficient procedures for fitting an entire lasso sequence
with the cost of a single least squares fit. Least angle
regression and infinitessimal forward stagewise regression are
related to the lasso, as described in the paper below.

regression and infinitesimal forward stagewise regression are

Description: Efficient procedures for fitting an entire lasso
fit. Least angle regression and infinitesimal forward

Title: Likelihood Analysis of Speciation/Extinction Rates from Phylogenies
Description: laser implements maximum likelihood methods based on the birth-death
process to test whether diversification rates have changed over time.  The package
permits batch processing of phylogenies to generate null distributions of test statistics
and posterior distributions of parameter estimates.  Additional functions for manipulating
branching times from molecular phylogenies and for simulating branching times under constant-rate models
Packaged: Sun Jul  9 11:29:14 2006; DRabosky