experiment$write_design()
now writes to csv and json files (#32 and fixes #33) crcmodel$set_posterior()
now supports weighted sample (resample = T), the full posterior (resample =F) or taking the weighted posterior mean of parameters (use_average = T) #31crcexperiment$set_design(nlock_ids = 1:2)
now can be used to filter population blocks in the experimental deign @pedroliman in https://github.com/c-rutter/crcrdm/pull/27crcmodel
and crcexperiment
classes.crcmodel
can be used to represent a cancer screening model with a natural history component and a screening component.crcexperiment
can be used to create experimental designs with multiple models, each with multiple parameters distributions.crcexperiment
also supports population blocks, which can be used to divide simulation runs in population sizes at the HPC side.crcexperiment
also supports pre-defined grid experimental designs.NEWS.md
file to track changes to the package.Add the following code to your website.
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