metagen: Inference in Meta Analysis and Meta Regression
Version 1.0

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.

Browse man pages Browse package API and functions Browse package files

AuthorThomas W. D. Möbius <kontakt@thomasmoebius.de>
Date of publication2014-05-27 15:43:54
MaintainerThomas W. D. Möbius <kontakt@thomasmoebius.de>
LicenseGPL-3
Version1.0
URL http://00tau.github.io/metagen/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("metagen")

Man pages

bcgVaccineData: Example: Setting up the BCG-data set
boxBias: Plotting performance: Box plots for bias
boxByConfidence: Plotting performance: Box plots for target value...
boxByMethod: Plotting performance: Box plots for target value...
boxByType: Plotting performance: Box plots for target value...
boxMSE: Plotting performance: Box plots for mean squared error
boxSD: Plotting performance: Box plots for standard deviation
cbbPalette: Colour palettes for colour blind people
cbgPalette: Colour palettes for colour blind people
collectAllExperiments: Running a computer experiment - Collect all the results
collectExperiments: Running a computer experiment - Collect specific results
designB: Design: Binomial responses
designD: Design: Gaussian responses (unknown heteroscedasticity)
designY: Design: Gaussian responses (known heteroscedasticity)
dvec: Data generation: Sampling data of clinical trials
experimentD: Running a computer experiment
experimentY: Running a computer experiment
formulaL: Regression coefficients: formulaL
formulaR: Regression coefficients: formulaR
hConfidence: Inference: Based on methods of moments and maximum...
hEstimates: Point estimates: For the heterogeneity parameter
intervalEstimates: Interval estimates: For the regression coefficients
joinPivotalCoefficients: Pivotal distributions: Extract pivots for regression...
joinPivotalHeterogeneity: Pivotal distributions: Extract pivots for heterogeneity
lenBoxByMethod: Plotting performance: Box plot of mean width
lenBoxByType: Plotting performance: Box plot of mean width
lenDenByMethod: Plotting performance: Density estimate of mean width
lenDenByType: Plotting performance: Density estimate of mean width
makeConfInt: Interval estimates: Generic function
makeConfInts: Interval estimates: Generic function
metagen: Inference: Analysis of the data set
metagenEmpty: Inference: Empty skeleton
metagenGeneralised: Inference: Based on generalised inference principles.
metareg: Inference: Based on methods of moments and maximum...
performance: Running a computer experiment
performanceConfH: Running a computer experiment: Adding performance measures
performanceConfR: Running a computer experiment: Adding performance measures
performancePointH: Running a computer experiment: Adding performance measures
performancePointR: Running a computer experiment: Adding performance measures
pfunc: The p_delta(eta) function.
pivotalStream: Steams of pivotal quantities of the regression coefficient
plotCoefficientInterval: Plot pivots: Interval estimates of the heterogeneity
plotDensityH: Pivotal distributions: Plot pivotal distribution of...
plotDensityH2: Pivotal distributions: Plot pivot density of the...
plotDensityIntercept: Pivotal distributions: Plot pivotal distribution of...
plotDensityIntercept2: Pivotal distributions: Plot pivotal distribution of...
plotDensitySlope: Pivotal distributions: Plot pivotal distribution of...
plotDensitySlope2: Pivotal distributions: Plot pivotal distribution of...
plotHeterogeneityInterval: Plot pivots: Interval estimates of the heterogeneity
plotIntervalEstimates: Example: Plotting interval estimates
plotStudyForest: Example: Plotting a forest plot of a data frame
plotStudyQfuncPfunc: Example: Plotting the q- and p-function from the dissertation
plotStudySizes: Example: Plotting study sizes
plotStudyUnbalance: Example: Plotting study unbalances in group assignments
qfunc: The q_delta(tau) function.
rB: Data generation: Log-risk-ration of a binomial-Gaussian model
rBinomGauss: Data generation: Sampling data of clinical trials
rD: Data generation: Gaussian-Gaussian model
regressionEstimates: Point estimates: For the regression coefficients
render: Render plot: To PDF
renderSVG: Render plot: To SVG
rY: Data generation: Gaussian-Gaussian model
sctBias: Plotting performance: Scatter plots against heterogeneity
sctMSE: Plotting performance: Scatter plots against heterogeneity
sctSD: Plotting performance: Scatter plots against heterogeneity
sctVersusC: Plotting performance: Scatter plot against heterogeneity
sctVersusH: Plotting performance: Scatter plot against heterogeneity
sdmByMethod: Plotting performance: Scatter plot against heterogeneity
sdmByType: Plotting performance: Scatter plot against heterogeneity
sdsByMethod: Plotting performance: Scatter plot against heteroscedasticity
sdsByType: Plotting performance: Scatter plot against heteroscedasticity
setupExperiment: Running a computer experiment in batch mode
yvec: Data generation: Sampling data of clinical trials

Functions

bcgVaccineData Man page Source code
boxBias Man page Source code
boxByConfidence Man page Source code
boxByMethod Man page Source code
boxByType Man page Source code
boxMSE Man page Source code
boxSD Man page Source code
cbbPalette Man page
cbgPalette Man page
coeffEstimates Source code
collectAllExperiments Man page Source code
collectExperiments Man page Source code
designB Man page Source code
designD Man page Source code
designY Man page Source code
dvec Man page Source code
experimentD Man page Source code
experimentY Man page Source code
formulaL Man page Source code
formulaR Man page Source code
getPivotalData Source code
hConfidence Man page Source code
hEstimates Man page Source code
intervalEstimates Man page Source code
intervalEstimates_OneSgnf Source code
joinPivotalCoefficients Man page Source code
joinPivotalHeterogeneity Man page Source code
lenBoxByMethod Man page Source code
lenBoxByType Man page Source code
lenDenByMethod Man page Source code
lenDenByType Man page Source code
makeConfInt Man page Source code
makeConfInts Man page Source code
makePivotalData Source code
metagen Man page Source code
metagenEmpty Man page Source code
metagenGeneralised Man page Source code
metareg Man page Source code
performance Man page Source code
performanceConfH Man page Source code
performanceConfR Man page Source code
performancePointH Man page Source code
performancePointR Man page Source code
pfunc Man page Source code
pivotalStream Man page Source code
plotCoefficientInterval Man page Source code
plotDensityH Man page Source code
plotDensityH2 Man page Source code
plotDensityIntercept Man page Source code
plotDensityIntercept2 Man page Source code
plotDensitySlope Man page Source code
plotDensitySlope2 Man page Source code
plotHeterogeneityInterval Man page Source code
plotIntervalEstimates Man page Source code
plotStudyForest Man page Source code
plotStudyQfuncPfunc Man page Source code
plotStudySizes Man page Source code
plotStudyUnbalance Man page Source code
qfunc Man page Source code
qfunc1 Source code
qfunc2 Source code
rB Man page Source code
rBinomGauss Man page Source code
rD Man page Source code
rY Man page Source code
regressionEstimates Man page Source code
render Man page Source code
renderSVG Man page Source code
sctBias Man page Source code
sctMSE Man page Source code
sctSD Man page Source code
sctVersusC Man page Source code
sctVersusH Man page Source code
sdmByMethod Man page Source code
sdmByType Man page Source code
sdsByMethod Man page Source code
sdsByType Man page Source code
setupExperiment Man page Source code
tryFunc Source code
turn2perc Source code
wrapper_experimentD Source code
wrapper_experimentY Source code
yvec Man page Source code

Files

NAMESPACE
R
R/methods-for-batch-distribution.R
R/plot-interval-estimates.R
R/plot-point-estimates.R
R/methods-for-inference.R
R/plot-pivotal-distributions.R
R/methods-for-data-generation.R
R/methods-for-experiments.R
R/plot-functions.R
R/zzz.R
R/example-bcg.R
MD5
DESCRIPTION
man
man/collectExperiments.Rd
man/plotDensityH.Rd
man/intervalEstimates.Rd
man/cbgPalette.Rd
man/experimentY.Rd
man/lenDenByMethod.Rd
man/yvec.Rd
man/rBinomGauss.Rd
man/formulaR.Rd
man/lenBoxByType.Rd
man/designB.Rd
man/hConfidence.Rd
man/designD.Rd
man/pfunc.Rd
man/plotDensityH2.Rd
man/lenBoxByMethod.Rd
man/plotDensitySlope2.Rd
man/metagen.Rd
man/lenDenByType.Rd
man/cbbPalette.Rd
man/boxByType.Rd
man/performance.Rd
man/performancePointH.Rd
man/sctBias.Rd
man/render.Rd
man/collectAllExperiments.Rd
man/boxByMethod.Rd
man/metagenGeneralised.Rd
man/hEstimates.Rd
man/experimentD.Rd
man/plotStudyQfuncPfunc.Rd
man/metareg.Rd
man/sdmByMethod.Rd
man/performanceConfH.Rd
man/sctVersusH.Rd
man/boxMSE.Rd
man/rD.Rd
man/sdmByType.Rd
man/designY.Rd
man/plotHeterogeneityInterval.Rd
man/dvec.Rd
man/boxByConfidence.Rd
man/setupExperiment.Rd
man/makeConfInts.Rd
man/plotStudyUnbalance.Rd
man/plotDensityIntercept.Rd
man/rY.Rd
man/renderSVG.Rd
man/qfunc.Rd
man/plotDensityIntercept2.Rd
man/makeConfInt.Rd
man/plotIntervalEstimates.Rd
man/metagenEmpty.Rd
man/plotStudySizes.Rd
man/formulaL.Rd
man/sctVersusC.Rd
man/sctMSE.Rd
man/joinPivotalCoefficients.Rd
man/joinPivotalHeterogeneity.Rd
man/boxBias.Rd
man/plotCoefficientInterval.Rd
man/bcgVaccineData.Rd
man/plotStudyForest.Rd
man/rB.Rd
man/performancePointR.Rd
man/sctSD.Rd
man/pivotalStream.Rd
man/sdsByMethod.Rd
man/sdsByType.Rd
man/plotDensitySlope.Rd
man/performanceConfR.Rd
man/regressionEstimates.Rd
man/boxSD.Rd
metagen documentation built on May 19, 2017, 5:37 p.m.