Package: Rgraphviz
Title: Provides plotting capabilities for R graph objects
Description: Interfaces R with the AT&T GraphViz library to provide
the ability for plotting R graph objects from the graph
package
Version: 1.18.1
Author: Jeff Gentry <jgentry@jimmy.harvard.edu>, Li Long <li.long@isb-sib.ch>,
Robert Gentleman <rgentlem@fhcrc.org>, Seth Falcon <sethf@fhcrc.org>,
Florian Hahne <fhahne@fhcrc.org>, Deepayan Sarkar <dsarkar@fhcrc.org>
Maintainer: Li Long <li.long@isb-sib.ch>
Depends: R (>= 2.6.0), methods, utils, graph, grid
Imports: utils
SystemRequirements: Graphviz version >= 2.2
License: The Artistic License, Version 2.0
LazyLoad: Yes
biocViews: GraphsAndNetworks
Packaged: Fri May 30 01:46:29 2008; biocbuild

SystemRequirements: gretl (>= 2016c), gretlcli
Description: An interface to 'GNU gretl': running 'gretl' scripts from, estimating econometric
models with backward passing of model results, opening 'gretl' data files (.gdt).
'gretl' can be downloaded from <http://gretl.sourceforge.net>. This package could make
life on introductory/intermediate econometrics courses much easier:   full battery of the
required regression diagnostics,   including White's heteroskedasticity test, restricted ols
estimation,   advanced weak instrument test after iv estimation, very convenient dealing
with lagged variables in models,   standard case treatment in unit root tests,   vector auto-
regressions, and vector error correction  models.   Datasets for   8 popular econometrics
textbooks can be installed into 'gretl' from its server. All datasets can be easily imported

SystemRequirements: gretl (>= 2017c), gretlcli

Title: Calculating multilocus heterozygosity and
Description: This package includes functions to estimate
heterozygosity-heterozygosity correlation and to calculate
three estimates of individual multilocus heterozygosity:
homozygosity by loci, internal relatedness, and standardized

X-CRAN-Comment: Orphaned on 2015-07-03 at the request of the maintainer

Packaged: Mon Nov 9 13:01:33 2009; jalho

Title: An R package for High-Performance Computing
Author: Junji Nakano <nakanoj@ism.ac.jp> and Ei-ji Nakama<nakama@com-one.com>
SystemRequirements: GNU make, R built as a shared or static library,
Description: Rhpc_lapply, Rhpc_lapplyLB and Rhpc_worker_call using MPI provides better HPC environment on R(works fast on HPC).
maybe start from the Rhpc batch command is better(faster).