metagen: Inference in Meta Analysis and Meta Regression

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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>
Date of publication
2014-05-27 15:43:54
Maintainer
Thomas W. D. Möbius <kontakt@thomasmoebius.de>
License
GPL-3
Version
1.0
URLs

View on CRAN

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

Files in this package

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