Multivariate and Univariate Meta-Analysis and Meta-Regression
Best Linear Unbiased Predictions from mvmeta Models
Best Linear Unbiased Predictions
Extract Coefficients and (Co)Variance Matrix from mvmeta Objects
Input (Co)Variance Matrices
Input Missing Values
Extract Log-Likelihood from mvmeta Objects
Likelihood Functions for mvmeta Models
Extract Model Frame and Design Matrix from mvmeta Objects
Multivariate and Univariate Meta-Analysis and Meta-Regression
Ancillary Parameters for Controlling the Fit in mvmeta Models
Fixed-Effects Estimator for mvmeta Models
ML and REML Estimators for mvmeta Models
Method of Moments Estimator for mvmeta Models
Fitting Multivariate and Univariate Meta-Analysis and Meta-Regression ...
Variance Components Estimator for mvmeta Models
Covariance Structures for mvmeta Models
mvmeta Objects
Simulating Responses for mvmeta Models
Handling Missing Values in mvmeta Models
Predicted Values from mvmeta Models
Cochran Q Test of Heterogeneity for mvmeta Models
Cochran Q Test of Heterogeneity
Summarizing mvmeta Models
Vectorization and Expansion of Symmetric Matrices
Collection of functions to perform fixed and random-effects multivariate and univariate meta-analysis and meta-regression.