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Craft2003
|
Correlation Coefficients Data from the Craft et al. Meta-Analysis |
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Geeganage2010
|
Multivariate Effect Sizes of Different Types from the Geeganage et al. Meta-Analysis |
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lgOR.vcov()
|
Computing Variance-Covariance Matrices for Log Odds Ratios |
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lgRR.vcov()
|
Computing Variance-Covariance Matrices for Log Risk Ratios |
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lgor_lgrr()
|
Computing Covariance between Log Odds Ratio and Log Risk Ratio |
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lgor_rd()
|
Computing Covariance between Log Odds Ratio and Risk Difference |
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lgrr_rd()
|
Computing Covariance between Log Risk Ratio and Risk Difference |
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md.vcov()
|
Computing Variance-Covariance Matrices for Mean Differences |
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md_lgor()
|
Computing Covariance between Mean Difference and Log Odds Ratio |
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md_lgrr()
|
Computing Covariance between Mean Difference and Log Risk Ratio |
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md_rd()
|
Computing Covariance between Mean Difference and Risk Difference |
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md_smd()
|
Computing Covariance between Mean Difference and Standardized Mean Difference |
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metafixed()
|
Fitting Fixed-Effect Meta-Analysis Models |
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metami()
|
Multiple Imputation for Missing Data in Meta-Analysis |
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metavcov-package
|
Computing Variances and Covariances, Visualization and Missing Data Solution for Multivariate Meta Analysis |
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mix.vcov()
|
Computing Variance-Covariance Matrices for Effect Sizes of the Same or Different Types |
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plotCI()
|
Plot Confidence Intervals for a Meta-Analysis |
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r.vcov()
|
Computing Variance-Covariance Matrices for Correlation Coefficients |
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rd.vcov()
|
Computing Variance-Covariance Matrices for Risk Differences |
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smd.vcov()
|
Computing Variance-Covariance Matrices for Standardized Mean Differences |
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smd_lgor()
|
Computing Covariance between Standardized Mean Difference and Log Odds Ratio |
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smd_lgrr()
|
Computing Covariance between Standardized Mean Difference and Log Risk Ratio |
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smd_rd()
|
Computing Covariance between Standardized Mean Difference and Risk Difference |