An Extended Mixed-Effects Framework for Meta-Analysis
Block-Diagonal Expansion of a List of Matrices
Best Linear Unbiased Predictions from mixmeta Models
Best Linear Unbiased Predictions
Extract Coefficients and (Co)Variance Matrix from mixmeta Objects
Input (Co)Variance Matrices
Input Missing Values
Extract Log-Likelihood from mixmeta Objects
An Extended Mixed-Effects Framework for Meta-Analysis
Ancillary Parameters for Controlling the Fit in mixmeta Models
Fixed-Effects Estimator for mixmeta Models
ML and REML Estimators for mixmeta Models
Method of Moments Estimator for mixmeta Models
Fitting Standard and Extended Meta-Analysis and Meta-Regression Models
Variance Components Estimator for mixmeta Models
(Co)variance Structures for mixmeta Models
Formulae in mixmeta Models
mixmeta Objects
Simulating Responses for mixmeta Models
IGLS and RIGLS Iterative Algorithms for mixmeta Models
Likelihood Functions for mixmeta Models
Quasi-Newton Iterative Algorithms for mixmeta Models
Extract Model Frame and Design Matrix from mixmeta Objects
Handling Missing Values in mixmeta Models
Predicted Values from mixmeta Models
Cochran Q Test of Heterogeneity for mixmeta Models
Cochran Q Test of Heterogeneity
Summarizing mixmeta Models
Extract Model Terms from mixmeta Objects
Vectorization and Expansion of Symmetric Matrices
A collection of functions to perform various meta-analytical models through a unified mixed-effects framework, including standard univariate fixed and random-effects meta-analysis and meta-regression, and non-standard extensions such as multivariate, multilevel, longitudinal, and dose-response models.