A new release of Pumas is now available in the JuliaProRegistry. You can upgrade your current installation of Pumas by simply running ] up Pumas at the command prompt in JuliaPro.
Release Notes for Pumas v0.12.0
Features
- Sundials.jl is now supported when using steady-state dosing.
- Information criteria functions
aicandbic, as well as the shrinkage andnpdefunctions, now have methods forFittedPumasModel. - The
predictmethod now works for models fitted withNaivePooled. - Estimation of models with dose control parameters is now supported both for closed-form and ODE based models.
- New
concthresholdparameter inNCA.lambdazto filter out tiny concentrations. - Support for passing
obstimesinpredictmethods. - Many new docstrings.
Deprecations
-
PKPDAnalyticalProblemhas been renamed toAnalyticalPKPDProblem. -
ZeroSplinefromDataInterpolationshas been renamed toConstantInterpolation.
Bugfixes
- Doses in NCA that are outside of observed time are now automatically removed.
- Optional arguments used during the model fitting is now correctly pased to diagnostics functions. This ensures that e.g. ODE solver tolerances are identical between model fitting and diagnostics computations.
- It is now possible to use random effects in the
@varsblock. That means that random effects can be applied to the solution of the dynamical system instead of just to the parameters of the dynamical system. - Bugfix for offset handling in
DosageRegimen. - Fix printing of coefficient tables when the calculation of the covariance matrix has failed.
- Fix printing of the number of successful bootstrap samples.
Compatibility
- Pumas now supports Julia 1.4. Julia version 1.4.1 includes important compilation time fixes for Pumas relative to version 1.4.0.
- StatsBase 0.33 is now supported.
- RecipesBase 1.0 is now supported.
- AdvancedHMC 0.2.12 is now required.
- DataInterpolations 2.0 is now required.
- StatsFuns 0.9 is now supported.