Changelog • crcrdm

crcrdm 1.0.3

experiment$write_design() now writes to csv and json files (#32 and fixes #33)

implements #28, now json file don’t have to include all model inputs by @pedroliman in https://github.com/c-rutter/crcrdm/pull/29
crcmodel$set_posterior() now supports weighted sample (resample = T), the full posterior (resample =F) or taking the weighted posterior mean of parameters (use_average = T) #31
crcexperiment$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/27
fixing typo by @pedroliman in https://github.com/c-rutter/crcrdm/pull/30

First stable version of the package.
Implements the crcmodel 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.