bcgVaccineData          Example: Setting up the BCG-data set
boxBias                 Plotting performance: Box plots for bias
boxByConfidence         Plotting performance: Box plots for target
                        value confidence-coverage
boxByMethod             Plotting performance: Box plots for target
                        value confidence-coverage
boxByType               Plotting performance: Box plots for target
                        value confidence-coverage
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 likelihood.
hEstimates              Point estimates: For the heterogeneity
                        parameter
intervalEstimates       Interval estimates: For the regression
                        coefficients
joinPivotalCoefficients
                        Pivotal distributions: Extract pivots for
                        regression coefficients
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 likelihood.
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 heterogeneity
plotDensityH2           Pivotal distributions: Plot pivot density of
                        the heterogeneity
plotDensityIntercept    Pivotal distributions: Plot pivotal
                        distribution of regression coefficients
plotDensityIntercept2   Pivotal distributions: Plot pivotal
                        distribution of regression coefficients
plotDensitySlope        Pivotal distributions: Plot pivotal
                        distribution of regression coefficients
plotDensitySlope2       Pivotal distributions: Plot pivotal
                        distribution of regression coefficients
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
rY                      Data generation: Gaussian-Gaussian model
regressionEstimates     Point estimates: For the regression
                        coefficients
render                  Render plot: To PDF
renderSVG               Render plot: To SVG
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
