Random effects meta analysis
Random effects meta analysis.
refmeta(yi, vi, tol = 1e-07)
yi |
The observations. |
vi |
This variances of the observations. |
tol |
The toleranve value to terminate Brent's algorithm. |
Random effects estimation, via restricted maximum likelihood estimation (REML), of the common mean.
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 τ^2 estimate and the random effects mean estimate.
Michail Tsagris
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
Annamaria Guolo and Cristiano Varin (2017). Random-effects meta-analysis: The number of studies matters. Statistical Methods in Medical Research, 26(3): 1500-1518.
y <- rnorm(30) vi <- rexp(30, 3) refmeta(y, vi)
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