Package: metagear
Version: 0.2
Date: 2015-08-18
Title: Comprehensive Research Synthesis Tools for Systematic Reviews
and Meta-Analysis
Authors@R: person("Marc J.", "Lajeunesse", email = "lajeunesse@usf.edu", role = c("aut", "cre"))
Description: Functionalities for facilitating systematic reviews, data extractions, and meta-analyses. It includes a GUI (graphical user interface) to help screen the abstracts and titles of bibliographic data; tools to assign screening effort across multiple collaborators/reviewers and to assess inter-reviewer reliability; tools to help automate the download and retrieval of journal PDF articles from online databases; automated and manual data extraction from scatter-plot and bar-plot images; PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagrams; simple imputation tools to fill gaps in incomplete or missing study parameters; generation of random effects sizes for Hedges' d, log response ratio, odds ratio, and correlation coefficients for Monte Carlo experiments; covariance equations for modelling dependencies among multiple effect sizes (e.g., effect sizes with a common control); and finally summaries that replicate analyses and outputs from widely used but no longer updated meta-analysis software. Funding for this package was supported by National Science Foundation (NSF) grants DBI-1262545 and DEB-1451031.
Type: Package
Depends: R (>= 3.0.1)
Imports: EBImage (>= 4.4.0), gWidgetsRGtk2 (>= 0.0-83), gWidgets (>=
0.0-54), stringr (>= 0.6.2), metafor (>= 1.9-4), MASS (>=
7.3-29), Matrix (>= 1.1-3)
License: GPL (>= 2)
URL: http://lajeunesse.myweb.usf.edu
NeedsCompilation: no
Packaged: 2015-08-19 00:20:31 UTC; MJL
Author: Marc J. Lajeunesse [aut, cre]
Maintainer: Marc J. Lajeunesse <lajeunesse@usf.edu>
Repository: CRAN
Date/Publication: 2015-08-19 13:49:41
Package: metagen
Version: 1.0
Date: 2014-05
Title: Inference in Meta Analysis and Meta Regression
Description: Provides methods for making inference in the random effects meta
regression model such as point estimates and confidence intervals for the
heterogeneity parameter and the regression coefficients vector. Inference
methods are based on different approaches to statistical inference.
Methods from three different schools are included: methods based on the
method of moments approach, methods based on likelihood, and methods based
on generalised inference. The package also includes tools to run extensive
simulation studies in parallel on high performance clusters in a modular
way. This allows extensive testing of custom inferential methods with all
implemented state-of-the-art methods in a standardised way. Tools for
evaluating the performance of both point and interval estimates are
provided. Also, a large collection of different pre-defined plotting
functions is implemented in a ready-to-use fashion.
Author: Thomas W. D. Möbius <kontakt@thomasmoebius.de>
Maintainer: Thomas W. D. Möbius <kontakt@thomasmoebius.de>
URL: http://00tau.github.io/metagen/
License: GPL-3
Imports: MASS, lhs, plyr, BBmisc, ParamHelpers, BatchJobs, BatchExperiments, ggplot2, metafor
LazyData: yes
ByteCompile: yes
Encoding: UTF-8
Collate: 'example-bcg.R' 'methods-for-batch-distribution.R'
'methods-for-data-generation.R' 'methods-for-experiments.R'
'methods-for-inference.R' 'plot-functions.R'
'plot-interval-estimates.R' 'plot-pivotal-distributions.R'
'plot-point-estimates.R' 'zzz.R'
Packaged: 2014-05-27 12:31:33 UTC; friedrich
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-27 15:43:54
Package: metaheur
Type: Package
Title: Metaheuristic Optimization Framework for Preprocessing
Combinations
Version: 0.1.0
Date: 2016-1-3
Author: Markus Vattulainen
Depends: R (>= 2.10)
Maintainer: Markus Vattulainen <markus.vattulainen@gmail.com>
Description: Automation of preprocessing often requires computationally costly
preprocessing combinations. This package helps to find near-best combinations
faster. Sub heuristics supported are random and grid restarts, taboo list,
decreasing probability for accepting inferior solutions and location of
previously best solution candidate is compared to. The package is intended
to be used with package 'preprocomb' and takes its 'GridClass' object as input.
License: GPL-2
LazyData: TRUE
Imports: utils, reshape2, ggplot2, preprocomb
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-01-03 17:14:10 UTC; Markus
Repository: CRAN
Date/Publication: 2016-01-03 22:26:43
Package: metansue
Type: Package
Title: Meta-Analysis of Studies with Non Statistically-Significant
Unreported Effects
Version: 1.1
Date: 2016-06-20
Author: Joaquim Radua
Maintainer: Joaquim Radua <jradua@fidmag.com>
Description: A novel meta-analytic method that allows an unbiased inclusion of studies with Non Statistically-Significant Unreported Effects (NSUEs). Briefly, the method first calculates the interval where the unreported effects (e.g. t-values) should be according to the threshold of statistical significance used in each study. Afterwards, maximizing likelihood techniques are used to impute the expected effect size of each study with NSUEs, accounting for between-study heterogeneity and potential covariates. Multiple imputations of the NSUEs are then randomly created based on the expected value, variance and statistical significance bounds. Finally, a restricted-maximum likelihood random-effects meta-analysis is separately conducted for each set of imputations, and estimations from these meta-analyses are pooled. Please read the reference in 'meta.nsue' for details of the procedure.
License: GPL-3
Packaged: 2016-06-20 15:34:05 UTC; jraduac
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-06-20 20:37:08
Package: metap
Type: Package
Title: Meta-Analysis of Significance Values
Version: 0.7
Date: 2016-04-05
Author: Michael Dewey
Maintainer: Michael Dewey <lists@dewey.myzen.co.uk>
Description: The canonical way to perform meta-analysis
involves using effect sizes. When they are not available
this package provides a number of methods for
meta-analysis of significance values, a
number of data-sets to replicate published results, and a
routine for graphical display.
URL: http://www.dewey.myzen.co.uk/meta/meta.html
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-04-05 06:04:56 UTC; Michael_2
Repository: CRAN
Date/Publication: 2016-04-07 18:27:29
Package: metaplus
Type: Package
Title: Robust Meta-Analysis and Meta-Regression
Version: 0.7-7
Date: 2016-04-10
Authors@R: c(person("Ken","Beath",email="ken.beath@mq.edu.au", role=c("aut","cre")),
person("Ben","Bolker",email="bolker@mcmaster.ca",role="aut"),
person("R Development Core Team",role="aut"))
Maintainer: Ken Beath <ken.beath@mq.edu.au>
Contact: Ken Beath <ken.beath@mq.edu.au>
Author: Ken Beath [aut, cre], Ben Bolker [aut], R Development Core Team [aut]
Description: Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
Depends: R (>= 3.2.0)
Imports: bbmle, metafor, boot, methods, numDeriv, lme4, MASS, graphics, stats, fastGHQuad
LazyData: yes
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-04-10 05:53:59 UTC; kjbeath1
Repository: CRAN
Date/Publication: 2016-04-10 09:10:53
Package: metasens
Title: Advanced Statistical Methods to Model and Adjust for Bias in
Meta-Analysis
Version: 0.3-0
Authors@R: c(person("Guido","Schwarzer", email="sc@imbi.uni-freiburg.de", role=c("aut","cre")),
person("James","Carpenter", role="aut"),
person("Gerta","Rücker", role="aut"))
Depends: meta (>= 4.0-0)
Date: 2016-02-16
Description: The following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis:
- Copas selection model;
- limit meta-analysis;
- upper bound for outcome reporting bias.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-02-17 10:16:09 UTC; sc
Author: Guido Schwarzer [aut, cre],
James Carpenter [aut],
Gerta Rücker [aut]
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>
Repository: CRAN
Date/Publication: 2016-02-17 12:11:45
Package: metatest
Type: Package
Title: Fit and test metaregression models
Version: 1.0-4
Date: 2013-01-24
Author: Hilde M. Huizenga & Ingmar Visser
Maintainer: Ingmar Visser <i.visser@uva.nl>
Description: This package fits meta regression models and generates a
number of statistics: next to t- and z-tests, the likelihood
ratio, bartlett corrected likelihood ratio and permutation
tests are performed on the model coefficients.
Depends: R (>= 2.15.2)
License: GPL
LazyLoad: yes
Packaged: 2013-01-25 10:03:17 UTC; ingmar
Repository: CRAN
Date/Publication: 2013-01-25 14:18:11
Package: meteR
Type: Package
Title: Fitting and Plotting Tools for the Maximum Entropy Theory of
Ecology (METE)
Version: 1.2
Date: 2016-06-22
Author: Andy Rominger, Cory Merow
Maintainer: Cory Merow <cory.merow@gmail.com>
Description: Fit and plot macroecological patterns predicted by the Maximum
Entropy Theory of Ecology (METE).
License: GPL-2
URL: https://github.com/cmerow/meteR
BugReports: https://github.com/cmerow/meteR/issues
VignetteBuilder: knitr
LazyLoad: yes
LazyData: true
Depends: R (>= 2.10)
Imports: nleqslv, distr
Suggests: testthat, knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-27 14:02:00 UTC; ctg
Repository: CRAN
Date/Publication: 2016-06-27 17:22:44
providing 
.