Easy Interface to Advanced PostgreSQL Features

Fast Simulation of Normal Random Variables
Nicolas Baradel - PGM Solutions <nicolas.baradel@pgm-solutions.com>
Ziggurat method in order to simulate normal random variables approximately four times faster than the usual rnorm(), reference : MARSAGLIA, George, TSANG, Wai Wan, and al. (2000) <DOI:10.18637/jss.v005.i08>.

Fast Simulation of Normal/Exponential Random Variables and
Stochastic Differential Equations
Fast simulation of some random variables than the usual native functions, including rnorm() and rexp(), using Ziggurat method, reference: MARSAGLIA, George, TSANG, Wai Wan, and al. (2000) <doi:10.18637/jss.v005.i08>, and fast simulation of stochastic differential equations.

Fast Simulation of Normal/Exponential Random Variables and
Stochastic Differential Equations / Poisson Processes
Fast simulation of some random variables than the usual native functions, including rnorm() and rexp(), using Ziggurat method, reference: MARSAGLIA, George, TSANG, Wai Wan, and al. (2000) <doi:10.18637/jss.v005.i08>, and fast simulation of stochastic differential equations / Poisson processes.

Melissa Hubisz <mjhubisz@cornell.edu> and Adam Siepel
<acs4@cornell.edu>
'checkArgs.R' 'feat.R' 'hmm.R' 'listOfLists.R' 'msa.R'
'phastCons.R' 'phyloFit.R' 'phyloP.R' 'plot.R' 'treeModel.R'
'trees.R'

Melissa Hubisz, Katherine Pollard, and Adam Siepel
RPHAST is an R interface to the PHAST pacakge
(Phylogenetic Analyis with Space/Time Models).  It can be used
for many types of analysis in comparative and evolutionary
genomics, such as estimating models of evolution from sequence
data, scoring alignments for conservation or acceleration, and
predicting elements based on conservation or custom
phylogenetic hidden Markov models.  It can also perform many
basic operations on multiple sequence alignments and
phylogenetic trees.
The code in src/pcre is Copyright (c) 1997-2010 University
of Cambridge.  All other code is Copyright (c) 2002-2010
University of California, Cornell University.