2 papers
stat.CO2026
Meta-analysis with the glmmTMB R package
Coralie Williams, Maeve McGillycuddy, Mollie Brooks +6
Meta-analytical models are typically formulated as a mixed-effects model where the sampling variances of the effect sizes are treated as known. In principle, such models could be f…
stat.ME2024
Parsimoniously Fitting Large Multivariate Random Effects in glmmTMB
Maeve McGillycuddy, Gordana Popovic, Benjamin M. Bolker +1
Multivariate random effects with unstructured variance-covariance matrices of large dimensions, , can be a major challenge to estimate. In this paper, we introduce a new impleme…