Package: genMOSS
Title: Functions for the Bayesian Analysis of GWAS Data
Version: 1.2
Date: 2014-12-01
Author: Matthew Friedlander, Adrian Dobra, Helene Massam, and Laurent Briollais
Maintainer: Matthew Friedlander <friedlander.matthew@gmail.com>
Depends: R (>= 2.10), ROCR
Description: Implements the Mode Oriented Stochastic Search (MOSS) algorithm as well as a simple moving window approach to look for combinations of SNPs that are associated with a response.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2014-12-02 19:30:09 UTC; user
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-12-03 07:54:14
Package: genMOSSplus
Type: Package
Title: Application of MOSS algorithm to genome-wide association study
(GWAS)
Version: 1.0
Date: 2013-04-12
Author: Olga Vesselova, Matthew Friedlander, Laurent Briollais, Adrian Dobra, Helene Massam.
Maintainer: Laurent Briollais <laurent@lunenfeld.ca>
Description: This is a genMOSS package with additional datafile preprocessing functions. Performs genome-wide analysis of dense SNP array data using the mode oriented stochastic search (MOSS) algorithm in a case-control design. The MOSS algorithm is a Bayesian variable selection procedure that is applicable to GWAS data. It identifies combinations of the best predictive SNPs associated with the response. It also performs a hierarchical log-linear model search to identify the most relevant associations among the resulting subsets of SNPs. This package also includes preprocessing of the data from Plink format to the format required by the MOSS algorithm.
License: GPL-2
OS_type: unix
LazyLoad: yes
Packaged: 2013-08-30 17:43:50 UTC; olga
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-08-30 20:05:41
Package: genalg
Version: 0.2.0
Date: 2015-03-15
Title: R Based Genetic Algorithm
Author: Egon Willighagen and Michel Ballings
Maintainer: Michel Ballings <Michel.Ballings@gmail.com>
Description: R based genetic algorithm for binary and floating point
chromosomes.
URL: https://github.com/egonw/genalg
BugReports: https://github.com/egonw/genalg/issues
License: GPL-2
Packaged: 2015-03-16 07:33:19 UTC; michelballings
Repository: CRAN
Date/Publication: 2015-03-16 08:45:54
NeedsCompilation: no
Package: genasis
Version: 1.0
Date: 2013-12-04
Title: Global ENvironmental ASsessment Information System (GENASIS)
computational tools
Author: Jiri Kalina, Jana Klanova, Ladislav Dusek, Tom Harner, Jana Boruvkova, Jiri Jarkovsky
Maintainer: Jiri Kalina <kalina@mail.muni.cz>
Depends: R (>= 2.0.1), Kendall, fitdistrplus
Description: genasis package contains methods for air pollution assessment. Concerned on persistent organic pollutants, the package allows to compute trends of their concentrations, compare different datasets and estimate relations between values from active and passive air samplers.
License: GPL (>= 2)
Packaged: 2014-06-06 13:30:45 UTC; kalina
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-06-07 00:36:37
Package: gencve
Type: Package
Title: General Cross Validation Engine
Version: 0.3
Author: A. I McLeod
Maintainer: A. I. McLeod <aimcleod@uwo.ca>
Description: Engines for cross-validation of many types of regression and class prediction models are provided. These engines include built-in support for 'glmnet', 'lars', 'plus', 'MASS', 'rpart', 'C50' and 'randomforest'. It is easy for the user to add other regression or classification algorithms. The 'parallel' package is used to improve speed. Several data generation algorithms for problems in regression and classification are provided.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 2.10)
Imports: lars, glmnet, plus, C50, randomForest, e1071, rpart, MASS, class, nnet
URL: http://www.stats.uwo.ca/faculty/aim
NeedsCompilation: no
Packaged: 2016-04-11 21:02:44 UTC; IanMcLeod
Repository: CRAN
Date/Publication: 2016-04-12 00:56:56
Package: gender
Type: Package
Title: Predict Gender from Names Using Historical Data
Version: 0.5.1
Date: 2015-09-03
Authors@R: c(person("Lincoln", "Mullen", role = c("aut", "cre"),
email = "lincoln@lincolnmullen.com"),
person("Cameron", "Blevins", role = "ctb"),
person("Ben", "Schmidt", role = "ctb"))
Description: Encodes gender based on names and dates of birth using historical
datasets. By using these datasets instead of lists of male and female names,
this package is able to more accurately guess the gender of a name, and it
is able to report the probability that a name was male or female.
URL: https://github.com/ropensci/gender
Depends: R (>= 3.0.0), utils, stats
Imports: dplyr (>= 0.4.2), httr (>= 1.0.0), jsonlite (>= 0.9.16)
Suggests: genderdata (>= 0.5.0), ggplot2 (>= 1.0.0), knitr (>= 1.11), testthat (>= 0.10.0)
Additional_repositories: http://packages.ropensci.org
LazyData: yes
License: MIT + file LICENSE
VignetteBuilder: knitr
BugReports: https://github.com/ropensci/gender/issues
NeedsCompilation: no
Packaged: 2015-09-03 18:08:23 UTC; lmullen
Author: Lincoln Mullen [aut, cre],
Cameron Blevins [ctb],
Ben Schmidt [ctb]
Maintainer: Lincoln Mullen <lincoln@lincolnmullen.com>
Repository: CRAN
Date/Publication: 2015-09-04 07:42:15
Package: genderizeR
Type: Package
Title: Gender Prediction Based on First Names
Version: 2.0.0
Date: 2016-05-11
Authors@R: c(person("Kamil", "Wais", email = "kamil.wais@gmail.com", role =
c("aut", "cre")), person("Nathan", "VanHoudnos", role = "ctb"), person("John", "Ramey", role = "ctb"))
Description: Utilizes the 'genderize.io' Application Programming Interface
to predict gender from first names extracted from a text vector.
The accuracy of prediction could be controlled by two parameters:
counts of a first name in the database and probability of prediction.
License: MIT + file LICENSE
URL: https://github.com/kalimu/genderizeR,
http://www.wais.kamil.rzeszow.pl/genderizeR
BugReports: https://github.com/kalimu/genderizeR
Imports: stringr (>= 1.0.0), httr (>= 1.1.0), tm (>= 0.6-2), data.table
(>= 1.9.6), magrittr, parallel (>= 3.3.0), utils
Depends: R (>= 3.3.0)
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-05-11 07:03:24 UTC; Kamil Wais
Author: Kamil Wais [aut, cre],
Nathan VanHoudnos [ctb],
John Ramey [ctb]
Maintainer: Kamil Wais <kamil.wais@gmail.com>
Repository: CRAN
Date/Publication: 2016-05-11 12:06:34
providing 
.