metatest fits and tests a metaregression model. In addition to
the traditional z test on the estimated coefficients,
also yields more reliable statistics: the t-test, log likelihood ratio
test, Bartlett corrected log likelihood ratio test, and the permutation
test. The Bartlett corrected log likelihood ratio test and the
permutation test are to be recommended since their type 1 errors are
metatest for details and an example.
The code that does the hard work was written by Hilde Huizenga. Ingmar Visser added the interface functions and handled turning code into a package. Maintainer: Ingmar Visser <email@example.com>
Hilde M. Huizenga, Ingmar Visser & Conor V. Dolan (2011). Hypothesis testing in random effects meta-regression, British Journal of Mathematical and Statistical Psychology, 64, 1-19.