coef.mvmeta: Extract Coefficients and (Co)Variance Matrix from mvmeta...

In gasparrini/mvmeta: Multivariate and Univariate Meta-Analysis and Meta-Regression

Description

These method functions return the estimated fixed-effects coefficients and their (co)variance matrix for fitted univariate or multivariate meta-analytical models represented in objects of class "mvmeta".

Usage

## S3 method for class 'mvmeta'
coef(object, format=c("vector","matrix"), ...)

## S3 method for class 'mvmeta'
vcov(object, ...)

Arguments

object	an object of class "mvmeta".
format	format of the returned object.
...	further arguments passed to or from other methods.

Value

For coef, a vector (default) or matrix with the estimated fixed-effects coefficients. The matrix-structure is used to store the fixed-effects coefficients in mvmeta objects, and is preserved if format="matrix".

For vcov, the (co)variance matrix of the estimated fixed-effects coefficients.

Author(s)

Antonio Gasparrini, [e-mail]

See Also

See mvmeta-package for an overview of the package and modelling framework.

Examples

# RUN THE MODEL
model <- mvmeta(cbind(PD,AL)~pubyear,S=berkey98[5:7],data=berkey98)

# COEFFICIENTS
model$coef
coef(model)
coef(model,format="matrix")
summary(model)$coef

# (CO)VARIANCE MATRIX
vcov(model)

gasparrini/mvmeta documentation built on Dec. 11, 2019, 9:57 a.m.