drmeta: Design-Indexed Location-Scale Meta-Analysis
Fits constrained and unrestricted meta-analytic location-scale
models in which residual between-study heterogeneity is modeled as an
exponential function of a prespecified design-robustness score. The
package supports maximum-likelihood (ML) and restricted
maximum-likelihood (REML) estimation, location moderators, the
conventional random-effects model as a nested special case, exact
estimation at the nonnegative scale-gradient boundary, design-indexed
heterogeneity summaries, scale-attenuation measures, prediction of
fitted heterogeneity, leave-one-out influence diagnostics, and
parametric-bootstrap inference for the scale gradient. Because the
scale-gradient null lies on the boundary of the constrained parameter
space, standard chi-square likelihood-ratio references do not apply
(Self and Liang, 1987, <doi:10.1080/01621459.1987.10478472>). The
general location-scale parent model is described in Viechtbauer and
Lopez-Lopez (2022, <doi:10.1002/jrsm.1562>). A scale model reweights
studies and does not adjust the mean for design-linked bias.
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=drmeta
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
[aut,
cre, cph]