| berkey98 | Five Published Trials on Periodontal Disease |
| blup | Best Linear Unbiased Predictions |
| blup.mvmeta | Best Linear Unbiased Predictions from mvmeta Models |
| coef.mvmeta | Extract Coefficients and (Co)Variance Matrix from mvmeta... |
| fibrinogen | Fibrinogen Studies Collaboration |
| hsls | High School Longitudinal Study |
| hyp | Ten Studies Assessing an Hypertension Treatment |
| inputcov | Input (Co)Variance Matrices |
| inputna | Input Missing Values |
| logLik.mvmeta | Extract Log-Likelihood from mvmeta Objects |
| mlprof.fn | Likelihood Functions for mvmeta Models |
| model.frame.mvmeta | Extract Model Frame and Design Matrix from mvmeta Objects |
| mvmeta | Fitting Multivariate and Univariate Meta-Analysis and... |
| mvmeta.control | Ancillary Parameters for Controlling the Fit in mvmeta Models |
| mvmetaCovStruct | Covariance Structures for mvmeta Models |
| mvmeta.fixed | Fixed-Effects Estimator for mvmeta Models |
| mvmeta.ml | ML and REML Estimators for mvmeta Models |
| mvmeta.mm | Method of Moments Estimator for mvmeta Models |
| mvmetaObject | mvmeta Objects |
| mvmeta-package | Multivariate and Univariate Meta-Analysis and Meta-Regression |
| mvmetaSim | Simulating Responses for mvmeta Models |
| mvmeta.vc | Variance Components Estimator for mvmeta Models |
| na.omit.data.frame.mvmeta | Handling Missing Values in mvmeta Models |
| p53 | Mutant p53 Gene and Squamous Cell Carcinoma |
| predict.mvmeta | Predicted Values from mvmeta Models |
| qtest | Cochran Q Test of Heterogeneity |
| qtest.mvmeta | Cochran Q Test of Heterogeneity for mvmeta Models |
| smoking | Meta-Analysis of Interventions to Promote Smoking Cessation |
| summary.mvmeta | Summarizing mvmeta Models |
| vechMat | Vectorization and Expansion of Symmetric Matrices |
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