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 |
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