For NONMEM Bayes models (model_type=nmbayes), bbr.bayes creates a series of submodels (of model_type=nonmem) in the output directory of the main model. These models are an internal implementation detail and are not meant to be discovered run_log(), config_log(), or summary_log().
In general, there's not a clear case where we'd need or want to support finding models within the output directory of another model. Teach find_models (used underneath by the three *_log() functions) to ignored submodels.
For NONMEM Bayes models (model_type=nmbayes), bbr.bayes creates a series of submodels (of model_type=nonmem) in the output directory of the main model. These models are an internal implementation detail and are not meant to be discovered run_log(), config_log(), or summary_log().
In general, there's not a clear case where we'd need or want to support finding models within the output directory of another model. Teach find_models (used underneath by the three *_log() functions) to ignored submodels.
Re: https://github.com/metrumresearchgroup/bbr.bayes/issues/40