Package: ETLUtils
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
License: GPL-2
Title: Utility Functions to Execute Standard Extract/Transform/Load
Operations (using Package 'ff') on Large Data
Type: Package
LazyLoad: yes
Author: Jan Wijffels
Description: Provides functions to facilitate the use of the 'ff' package in
interaction with big data in 'SQL' databases (e.g. in
'Oracle', 'MySQL', 'PostgreSQL', 'Hive') by allowing easy importing directly into 'ffdf'
objects using 'DBI', 'RODBC' and 'RJDBC'. Also contains some basic utility
functions to do fast left outer join merging based on 'match', factorisation of data and a basic
function for re-coding vectors.
Version: 1.3
URL: https://github.com/jwijffels/ETLUtils, http://www.bnosac.be
Date: 2015-05-16
Depends: ff (>= 2.2-13)
Imports: bit (>= 1.1-12)
Suggests: RSQLite, zoo, DBI, RODBC, RJDBC
Packaged: 2015-05-18 09:03:56 UTC; Jan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-18 17:55:19
Package: PopGenome
Type: Package
Title: An Efficient Swiss Army Knife for Population Genomic Analyses
Version: 2.1.6
Date: 2015-05-1
Author: Bastian Pfeifer [aut, cre], Ulrich Wittelsbuerger [ctb], Heng Li [ctb], Bob Handsaker [ctb]
Authors@R: c( person("Bastian", "Pfeifer", role = c("aut", "cre"), email = "Bastian.Pfeifer@uni-duesseldorf.de"),
person("Ulrich", "Wittelsbuerger", role = "ctb"),
person("Heng", "Li", role = "ctb"),
person("Bob", "Handsaker", role = "ctb") )
Maintainer: Bastian Pfeifer <Bastian.Pfeifer@uni-duesseldorf.de>
Depends: R (>= 2.14.2), ff
Imports: methods
Suggests: parallel, bigmemory, BASIX, WhopGenome
Description: Provides efficient tools for population genomics data analysis,
able to process individual loci, large sets of loci, or whole genomes. PopGenome not only
implements a wide range of population genetics statistics, but also facilitates the easy
implementation of new algorithms by other researchers. PopGenome is optimized for speed via
the seamless integration of C code.
License: GPL-3
URL: http://popgenome.weebly.com
LazyLoad: yes
Copyright: inst/COPYRIGHTS
SystemRequirements: zlib headers and library.
Repository: CRAN
NeedsCompilation: yes
Packaged: 2015-05-02 13:33:06 UTC; user
Date/Publication: 2015-05-04 23:40:49
Package: dualScale
Type: Package
Title: Dual Scaling Analysis of Multiple Choice Data
Version: 0.9.1
Date: 2014-01-27
Author: Jose G. Clavel, Shizuiko Nishisato and Antonio Pita
Maintainer: Jose G. Clavel <dualScale@gmail.com>
Description: Functions to analyze multiple choice data using Dual Scaling
License: GPL-2
Depends: matrixcalc, ff, vcd, lattice, Matrix
Packaged: 2014-01-27 16:48:06 UTC; Yo
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-27 21:00:54
Package: BayesSummaryStatLM
Type: Package
Title: MCMC Sampling of Bayesian Linear Models via Summary Statistics
Version: 1.0-1
Date: 2015-01-01
Author: Evgeny Savel'ev, Alexey Miroshnikov, Erin Conlon
Maintainer: Evgeny Savel'ev <savelev@vt.edu>
Description: Methods for generating Markov Chain Monte Carlo (MCMC) posterior samples of Bayesian linear regression model parameters that require only summary statistics of data as input. Summary statistics are useful for systems with very limited amounts of physical memory. The package provides two functions: one function that computes summary statistics of data and one function that carries out the MCMC posterior sampling for Bayesian linear regression models where summary statistics are used as input. The function read.regress.data.ff utilizes the R package 'ff' to handle data sets that are too large to fit into a user's physical memory, by reading in data in chunks.
Depends: R (>= 3.1.1), mvnfast, ff
License: GPL (>= 2)
Packaged: 2015-03-02 18:42:16 UTC; evgeny
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-03 01:13:40
Package: ffbase
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>
License: GPL-3
Title: Basic Statistical Functions for Package 'ff'
Type: Package
LazyLoad: yes
Author: Edwin de Jonge, Jan Wijffels, Jan van der Laan
Description: Extends the out of memory vectors of 'ff' with
statistical functions and other utilities to ease their usage.
Version: 0.12.3
URL: http://github.com/edwindj/ffbase
Date: 2015-07-25
Depends: R (>= 2.12.0), ff (>= 2.2-11)
Imports: fastmatch, bit
Suggests: testthat, parallel, LaF, biglm
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-22 15:04:32 UTC; edwin
Repository: CRAN
Date/Publication: 2016-03-23 00:29:24
Package: biglars
Type: Package
Title: Scalable Least-Angle Regression and Lasso
Version: 1.0.2
Date: Tue Dec 27 15:06:08 PST 2011
Author: Mark Seligman, Chris Fraley, Tim Hesterberg
Maintainer: Mark Seligman <Mark.Seligman@insilicos.com>
Description: Least-angle regression, lasso and stepwise regression for
numeric datasets in which the number of observations is greater
than the number of predictors. The functions can be used with
the ff library to accomodate datasets that are too large to be
held in memory.
Depends: R (>= 2.10), ff
License: GPL (>= 2)
Packaged: 2011-12-27 23:12:38 UTC; seligman
Repository: CRAN
Date/Publication: 2011-12-28 13:50:26
Package: tabplot
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
License: GPL-3
Title: Tableplot, a Visualization of Large Datasets
Type: Package
LazyLoad: yes
Author: Martijn Tennekes and Edwin de Jonge
Description: A tableplot is a visualisation of a (large)
dataset with a dozen of variables, both numeric and
categorical. Each column represents a variable and each
row bin is an aggregate of a certain number of records.
Numeric variables are visualized as bar charts, and
categorical variables as stacked bar charts. Missing
values are taken into account. Also supports large ffdf
datasets from the ff package.
Version: 1.3
URL: https://github.com/mtennekes/tabplot
Date: 2016-03-25
Depends: bit, ff, ffbase (>= 0.12.2)
Imports: grid
VignetteBuilder: knitr
Suggests: shiny (>= 0.6), knitr, classInt, ggplot2
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-25 19:36:12 UTC; vt
Repository: CRAN
Date/Publication: 2016-03-26 15:47:38
Package: sprint
Title: Simple Parallel R INTerface
Version: 1.0.7
Date: 2014-09-24
Author: University of Edinburgh SPRINT Team <sprint@ed.ac.uk>
Copyright: University of Edinburgh
Maintainer: Eilidh Troup <e.troup@epcc.ed.ac.uk>
Contact: University of Edinburgh SPRINT Team <sprint@ed.ac.uk>
Depends: R (>= 2.9.2), rlecuyer, ff (>= 2.1-1), randomForest
Suggests: cluster, stringdist, RUnit, Matrix, SparseM, multtest, Biostrings, ShortRead, golubEsets, RankProd
Imports: boot, e1071
SystemRequirements: MPI(>= 2.0)
Description: SPRINT (Simple Parallel R INTerface) is a parallel
framework for R. It provides a High Performance Computing (HPC)
harness which allows R scripts to run on HPC clusters. SPRINT
contains a library of selected R functions that have been
parallelized. Functions are named after the original R function
with the added prefix 'p', i.e. the parallel version of cor()
in SPRINT is called pcor(). Call to the parallel R functions
are included directly in standard R scripts.
SPRINT contains functions for correlation (pcor), partitioning around medoids (ppam),
apply (papply), permutation testing (pmaxT), bootstrapping (pboot), random forest (prandomForest),
rank product (pRP) and hamming distance (pstringdistmatrix).
License: GPL (>= 3)
URL: http://www.r-sprint.org
Repository: CRAN
Packaged: 2014-09-29 12:12:34 UTC; eilidhtroup
Date/Publication: 2014-09-29 18:03:02
NeedsCompilation: yes
OS_type: unix
providing 
.