PopED 0.7.0

• create.poped.database() now uses a better method of identifying the total number of parameters of each type (bpop, d, sigma, etc.) in a user defined model parameter function (the ff_fun argument in create.poped.database()) (#73).

• create.poped.database() has a new option reorder_parameter_vectors, which is turned off by default. When turned on, if you use named arguments in bpop or d then PopED will try to figure out the order of the parameters based on what is found in the fg_fun. See the resulting poped_db$parameters and make sure the order matches with fg_fun.

• start_parallel() has a new default fornum_cores, which is now one less than the number of cores available from parallel::detectCores().

• model_prediction() and therefore plot_model_prediction() allow for log-normal distributions when using the PI option. This makes sense if you expect the prediction interval of the model will be approximately log-normally distributed, which might often be the case in pop PK models. The new default is now PI_ln_dist = TRUE.

• poped_optim() now has an explicit argument allowing for the specification of Ds-optimal parameters of interest. The option is ds_index.

• Minor bug fixes