- regenerate help files for compatability with new CRAN check
- add CWRES to
vars_nm_std
pk_elimination_linear_nl
gains support for CLmm and Vmax parameterization
- First release
- automatically rename variables with conflicting capitalization (e.g., emax and EMAX)
- rename
pk_elimination_linear_mm()
topk_elimination_linear_nl()
- remove
pk_elimination_mm()
- extended help for PK component building blocks
- extended help for the building blocks: parameter, observation, compartment, flow
- added pkgdown reference
- added new "Getting started" vignette
- added
task
option torender
function allowing to customize estimation and covariance records, e.g.,render(m, tasks = tsk_estimation(method = "foce"))
- added
tsk_ouput()
to specify variables that should be added to $TABLE
- RUV variance can be specified in the observation model
obs_additive(~conc, var_add = 2)
- default parameter values for PK components
- parameter values can be defined when specifying parameters
prm_normal("k", mean = 1, var = 1)
- variables that are not defined in the model are automatically added as input variables
- added warning when a new building block replaces an existing one
- added
pk_elimination_linear_mm
for mixed linear-mm elimination - models are now checked for issues before rendering
- improved console printing of building blocks and models
- added
check()
function to check and list model issues - improved error checking and reporting when creating building blocks, e.g.,
prm_normal()
- prediction declarations for observations do not longer need a left-hand side, e.g.,
obs_additive(~C["central"])
is now valid. pk_elimination_mm
has been replaced withpk_elimination_nl
to clarify that the default parameterization is not the classical MM model. Additionally,pk_elimination_nl
allows selecting the classical parameterization usingpk_elimination_nl(prm_vmax = prm_log_normal("vmax"), prm_clmm = NULL)
- unsupported building blocks are now ignored with a warning when added to a model (e.g.,
pk_model()+compartment('central')
) - option to include estimation & covariance step records in generated NONMEM model through
render(m, options = assemblerr_options(default_record.covariance_step = nm_covariance()))
- Added a
NEWS.md
file to track changes to the package.