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metavcov (version 2.1.5)

Computing Variances and Covariances, Visualization and Missing Data Solution for Multivariate Meta-Analysis

Description

Collection of functions to compute within-study covariances for different effect sizes, data visualization, and single and multiple imputations for missing data. Effect sizes include correlation (r), mean difference (MD), standardized mean difference (SMD), log odds ratio (logOR), log risk ratio (logRR), and risk difference (RD).

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Install

install.packages('metavcov')

Monthly Downloads

188

Version

2.1.5

License

GPL (>= 2)

Issues

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Maintainer

Min Lu

Last Published

June 24th, 2023

Functions in metavcov (2.1.5)

md_lgor

Computing Covariance between Mean Difference and Log Odds Ratio
lgor_lgrr

Computing Covariance between Log Odds Ratio and Log Risk Ratio
Geeganage2010

Multivariate Effect Sizes of Different Types from the Geeganage et al. Meta-Analysis
Craft2003

Correlation Coefficients Data from the Craft et al. Meta-Analysis
md_lgrr

Computing Covariance between Mean Difference and Log Risk Ratio
metafixed

Fitting Fixed-Effect Meta-Analysis Models
md_rd

Computing Covariance between Mean Difference and Risk Difference
smd_lgor

Computing Covariance between Standardized Mean Difference and Log Odds Ratio
smd_lgrr

Computing Covariance between Standardized Mean Difference and Log Risk Ratio
plotCI

Plot Confidence Intervals for a Meta-Analysis
smd.vcov

Computing Variance-Covariance Matrices for Standardized Mean Differences
md_smd

Computing Covariance between Mean Difference and Standardized Mean Difference
mix.vcov

Computing Variance-Covariance Matrices for Effect Sizes of the Same or Different Types
metami

Multiple Imputation for Missing Data in Meta-Analysis
r.vcov

Computing Variance-Covariance Matrices for Correlation Coefficients
rd.vcov

Computing Variance-Covariance Matrices for Risk Differences
metavcov-package

Computing Variances and Covariances, Visualization and Missing Data Solution for Multivariate Meta Analysis
smd_rd

Computing Covariance between Standardized Mean Difference and Risk Difference
lgRR.vcov

Computing Variance-Covariance Matrices for Log Risk Ratios
md.vcov

Computing Variance-Covariance Matrices for Mean Differences
lgrr_rd

Computing Covariance between Log Risk Ratio and Risk Difference
lgOR.vcov

Computing Variance-Covariance Matrices for Log Odds Ratios
lgor_rd

Computing Covariance between Log Odds Ratio and Risk Difference