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  "Description": "Bayesian data analysis usually incurs long runtimes and\ncumbersome custom code. A pipeline toolkit tailored to Bayesian\nstatisticians, the 'stantargets' R package leverages 'targets'\nand 'cmdstanr' to ease these burdens. 'stantargets' makes it\nsuper easy to set up scalable Stan pipelines that automatically\nparallelize the computation and skip expensive steps when the\nresults are already up to date. Minimal custom code is\nrequired, and there is no need to manually configure branching,\nso usage is much easier than 'targets' alone. 'stantargets' can\naccess all of 'cmdstanr''s major algorithms (MCMC, variational\nBayes, and optimization) and it supports both single-fit\nworkflows and multi-rep simulation studies. For the statistical\nmethodology, please refer to 'Stan' documentation (Stan\nDevelopment Team 2020) <https://mc-stan.org/>.",
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