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Meta-analysis of proportions and prevalence for epidemiological, veterinary, medical, and One Health studies.
Main functions: meta_prop(),
prop_transform(), prop_heterogeneity(),
forest_prop(), funnel_prop(),
subgroup_prop(), metareg_prop(),
loo_prop(), influence_prop(),
bias_prop(), predict_prop(), and optional
meta_prop_glmm().
The package focuses on transparent inverse-variance methods and supports logit, arcsine, raw-proportion, and Freeman-Tukey transformations, with DL, REML, and Paule-Mandel random-effects estimators.
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.
Health stats visible at Monitor.