The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Frischkorn G, Popov V (2023). “A tutorial for estimating mixture models for visual working memory tasks in brms: Introducing the Bayesian Measurement Modeling (bmm) package for R.” PsyArXiv. doi:10.31234/osf.io/umt57.
Corresponding BibTeX entry:
@Article{, title = {A tutorial for estimating mixture models for visual working memory tasks in brms: Introducing the Bayesian Measurement Modeling (bmm) package for R}, author = {Gidon T. Frischkorn and Vencislav Popov}, journal = {PsyArXiv}, year = {2023}, doi = {10.31234/osf.io/umt57}, }
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.