Last data update: 2014.03.03

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CranContrib
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Results 51 - 60 of 11200 found.
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metaMix : Bayesian Mixture Analysis for Metagenomic Community Profiling

Package: metaMix
Title: Bayesian Mixture Analysis for Metagenomic Community Profiling
Version: 0.2
Author: Sofia Morfopoulou <sofia.morfopoulou.10@ucl.ac.uk>
Maintainer: Sofia Morfopoulou <sofia.morfopoulou.10@ucl.ac.uk>
Depends: R (>= 3.0.1)
Imports: data.table (>= 1.9.2), Matrix, gtools, Rmpi, ggplot2
Suggests: knitr
VignetteBuilder: knitr
Description: Resolves complex metagenomic mixtures by analysing
deep sequencing data, using a mixture model based approach.
The use of parallel Monte Carlo Markov chains for the exploration
of the species space enables the identification of the set
of species more likely to contribute to the mixture.
License: GPL-3
LazyData: true
SystemRequirements: Open MPI (>=1.4.3)
Packaged: 2015-03-15 12:32:53 UTC; psofaki
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-15 14:03:01

● Data Source: CranContrib
● 0 images, 8 functions, 0 datasets
● Reverse Depends: 0

metaRNASeq : Meta-analysis of RNA-seq data

Package: metaRNASeq
Type: Package
Title: Meta-analysis of RNA-seq data
Version: 1.0.2
Date: 2015-01-26
Author: Guillemette Marot, Florence Jaffrezic, Andrea Rau
Maintainer: Guillemette Marot <guillemette.marot@inria.fr>
Depends: R (>= 2.15.0)
Suggests: HTSFilter (>= 0.1.1), DESeq (>= 1.8.3), DESeq2 (>= 1.0.17),
VennDiagram (<= 1.6.7)
Description: Implementation of two p-value combination techniques (inverse normal and Fisher methods). A vignette is provided to explain how to perform a meta-analysis from two independent RNA-seq experiments.
License: GPL
LazyLoad: yes
biocViews: HighThroughputSequencing, RNAseq, DifferentialExpression
Repository: CRAN
Repository/R-Forge/Project: htsfilter
Repository/R-Forge/Revision: 103
Repository/R-Forge/DateTimeStamp: 2015-01-26 14:19:14
Date/Publication: 2015-01-26 20:33:13
Packaged: 2015-01-26 14:31:28 UTC; rforge
NeedsCompilation: no

● Data Source: CranContrib
● BiocViews: DifferentialExpression, HighThroughputSequencing, RNAseq
● 0 images, 5 functions, 3 datasets
● Reverse Depends: 0

metaSEM : Meta-Analysis using Structural Equation Modeling

Package: metaSEM
Type: Package
Title: Meta-Analysis using Structural Equation Modeling
Version: 0.9.8
Date: 2016-04-16
Depends: R (>= 3.2.2), OpenMx (>= 2.3.1)
Imports: Matrix, MASS, ellipse, graphics, stats, utils
Suggests: metafor, semPlot, lavaan
Author: Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>
Maintainer: Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>
Description: A collection of functions for conducting meta-analysis using a
structural equation modeling (SEM) approach via the 'OpenMx' package.
It also implements the two-stage SEM approach to conduct meta-analytic
structural equation modeling on correlation and covariance matrices.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
ByteCompile: yes
URL: https://github.com/mikewlcheung/metasem
NeedsCompilation: no
Packaged: 2016-04-16 14:33:13 UTC; mikewlcheung
Repository: CRAN
Date/Publication: 2016-04-19 14:01:08

● Data Source: CranContrib
● 0 images, 32 functions, 23 datasets
● Reverse Depends: 0

meta : General Package for Meta-Analysis

Package: meta
Title: General Package for Meta-Analysis
Version: 4.4-1
Depends: R (>= 2.9.1)
Imports: grid
Suggests: metafor, lme4, numDeriv, BiasedUrn
Authors@R: c(person("Guido","Schwarzer", role=c("cre","aut"), email="sc@imbi.uni-freiburg.de"))
Date: 2016-06-20
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker, "Meta-Analysis with R" (2015):
- fixed effect and random effects meta-analysis;
- several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble);
- statistical tests and trim-and-fill method to evaluate bias in meta-analysis;
- import data from 'RevMan 5';
- prediction interval, Hartung-Knapp and Paule-Mandel method for random effects model;
- cumulative meta-analysis and leave-one-out meta-analysis;
- meta-regression (if R package 'metafor' is installed);
- generalised linear mixed models (if R packages 'metafor', 'lme4', 'numDeriv', and 'BiasedUrn' are installed).
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2016-06-20 14:58:08 UTC; sc
Author: Guido Schwarzer [cre, aut]
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>
Repository: CRAN
Date/Publication: 2016-06-20 20:21:58

● Data Source: CranContrib
● Cran Task View: ClinicalTrials, SocialSciences
● 0 images, 25 functions, 6 datasets
Reverse Depends: 3

metabolomics : Analysis of Metabolomics Data

Package: metabolomics
Type: Package
Title: Analysis of Metabolomics Data
Version: 0.1.4
Date: 2014-12-27
Author: Alysha M De Livera and Jairus B Bowne
Maintainer: Alysha M De Livera <alyshad@unimelb.edu.au>
Description: A collection of functions to aid in the statistical analysis of metabolomic data
License: GPL-2 | GPL-3
LazyLoad: yes
Depends: limma, crmn, gplots, R (>= 3.1.0)
Packaged: 2014-12-29 18:19:26 UTC; alyshad
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-29 19:25:29

● Data Source: CranContrib
● 0 images, 24 functions, 1 datasets
● Reverse Depends: 0

metacom : Analysis of the 'Elements of Metacommunity Structure'

Package: metacom
Type: Package
Title: Analysis of the 'Elements of Metacommunity Structure'
Version: 1.4.4
Date: 2016-4-11
Author: Tad Dallas
Depends: vegan (>= 2.2-1)
Suggests: testthat
Maintainer: Tad Dallas <tdallas@uga.edu>
Description: Functions to analyze coherence, boundary clumping, and turnover
following the pattern-based metacommunity analysis of Leibold and Mikkelson
2002. The package also includes functions to visualize ecological networks, and
to calculate modularity as a replacement to boundary clumping.
LazyLoad: yes
LazyData: yes
License: GPL-2
BugReports: https://github.com/taddallas/metacom/issues
URL: https://github.com/taddallas/metacom
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-13 16:12:59 UTC; drakelab
Repository: CRAN
Date/Publication: 2016-04-13 21:35:15

● Data Source: CranContrib
● Cran Task View: Environmetrics
● 0 images, 10 functions, 1 datasets
● Reverse Depends: 0

metacor : Meta-analysis of correlation coefficients

Package: metacor
Type: Package
Title: Meta-analysis of correlation coefficients
Version: 1.0-2
Date: 2011-03-21
Author: Etienne Laliberté
Maintainer: Etienne Laliberté <etiennelaliberte@gmail.com>
Description: Implement the DerSimonian-Laird (DSL) and Olkin-Pratt (OP)
meta-analytical approaches with correlation coefficients as
effect sizes.
License: GPL-2
LazyLoad: yes
Lazydata: yes
Depends: R (>= 2.8.0), rmeta, gsl
Keyword: meta-analysis
Encoding: latin1
Packaged: 2011-03-21 05:49:32 UTC; etienne
Repository: CRAN
Date/Publication: 2011-03-21 06:47:13

● Data Source: CranContrib
● Cran Task View: MetaAnalysis
● 0 images, 3 functions, 1 datasets
● Reverse Depends: 0

metafolio : Metapopulation simulations for conserving salmon through portfolio optimization

Package: metafolio
Type: Package
Title: Metapopulation simulations for conserving salmon through
portfolio optimization
Version: 0.1.0
Date: 2014-07-09
Authors@R: c(person(c("Sean", "C."), "Anderson", email =
"sean@seananderson.ca", role = c("aut", "cre")),
person(c("Jonathan", "W."), "Moore", role = "ctb"),
person(c("Michelle", "M."), "McClure", role = "ctb"),
person(c("Nicholas", "K."), "Dulvy", role = "ctb"),
person(c("Andrew", "B."), "Cooper", role = "ctb"))
Description: The metafolio R package is a tool to simulate salmon
metapopulations and apply financial portfolio optimization concepts. The
package accompanies the paper 'Portfolio conservation of metapopulations
under climate change'. See citation("metafolio").
Maintainer: Sean C. Anderson <sean@seananderson.ca>
License: GPL-2
URL: http://github.com/seananderson/metafolio
BugReports: http://github.com/seananderson/metafolio/issues
VignetteBuilder: knitr
Depends: R (>= 3.1.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp (>= 0.11.2), plyr, colorspace, MASS
Suggests: knitr, devtools, TeachingDemos, RColorBrewer, reshape2
Packaged: 2014-07-10 05:35:22 UTC; seananderson
Author: Sean C. Anderson [aut, cre],
Jonathan W. Moore [ctb],
Michelle M. McClure [ctb],
Nicholas K. Dulvy [ctb],
Andrew B. Cooper [ctb]
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-07-10 08:45:42

● Data Source: CranContrib
● 0 images, 40 functions, 0 datasets
● Reverse Depends: 0

metafor : Meta-Analysis Package for R

Package: metafor
Version: 1.9-8
Date: 2015-09-28
Title: Meta-Analysis Package for R
Authors@R: person("Wolfgang", "Viechtbauer", email = "wvb@metafor-project.org", role = c("aut","cre"))
Depends: R (>= 3.2.2), Matrix
Imports: stats, utils, graphics, grDevices, methods
Suggests: lme4, numDeriv, minqa, nloptr, dfoptim, ucminf, CompQuadForm,
mvtnorm, Formula, R.rsp, testthat, BiasedUrn, survival, Epi,
igraph, multcomp, plyr
Description: A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted.
License: GPL (>= 2)
ByteCompile: TRUE
LazyData: TRUE
Encoding: UTF-8
VignetteBuilder: R.rsp
URL: http://www.metafor-project.org
NeedsCompilation: no
Packaged: 2015-09-28 15:08:19 UTC; Wolfgang
Author: Wolfgang Viechtbauer [aut, cre]
Maintainer: Wolfgang Viechtbauer <wvb@metafor-project.org>
Repository: CRAN
Date/Publication: 2015-09-28 17:40:48

● Data Source: CranContrib
● Cran Task View: ClinicalTrials, Phylogenetics
● 0 images, 65 functions, 31 datasets
Reverse Depends: 3

metafuse : Fused Lasso Approach in Regression Coefficient Clustering

Package: metafuse
Type: Package
Title: Fused Lasso Approach in Regression Coefficient Clustering
Version: 1.0-1
Date: 2015-11-06
Author: Lu Tang, Peter X.K. Song
Maintainer: Lu Tang <lutang@umich.edu>
Description: For each covariate, cluster its coefficient effects across different data sets during
data integration. Supports Gaussian, binomial and Poisson regression models.
License: GPL-2
Imports: glmnet, Matrix, MASS
Repository: CRAN
NeedsCompilation: no
Packaged: 2015-11-07 05:26:53 UTC; Lu
Date/Publication: 2015-11-07 07:24:15

● Data Source: CranContrib
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0