crwbmetareg (version 1.0)

Weighted least squares meta analysis: Weighted least squares meta analysis

Description

Weighted least squares meta analysis.

Usage

wlsmeta(yi, vi)

Value

A vector with many elements. The fixed effects mean estimate, the \(\bar{v}\)

estimate, the \(I^2\), the \(H^2\), the Q test statistic and it's p-value, the \(\tau^2\) estimate and the random effects mean estimate.

Arguments

yi

The observations.

vi

The variances of the observations.

Author

Michail Tsagris.

R implementation and documentation: Michail Tsagris .

Details

It implements weighted least squares (WLS) meta analysis. See references for this.

References

Stanley T. D. and Doucouliagos H. (2015). Neither fixed nor random: weighted least squares meta-analysis. Statistics in Medicine, 34(13): 2116--2127.

Stanley, T. D. and Doucouliagos, H. (2017). Neither fixed nor random: Weighted least squares meta-regression. Research synthesis methods, 8(1): 19--42.

See Also

colwlsmeta

Examples

y <- rnorm(30)
vi <- rexp(30, 3)
wlsmeta(y, vi)