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metamixr 0.1.0

Initial release.

• re_mix(), sel_mix() and sel_flexpb() fit Bayesian meta-analytic mixture models without publication bias adjustment, with a common step-function selection model, and with group-specific selection models.
• sim_mix() simulates data from the models.
• mertens_nudge provides the nudging meta-analysis of Mertens et al. (2022).
• Four vignettes: getting started, an application to the nudging literature, resolving multimodality, and a comparison with RoBMA.

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.