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
- Sundials.jl is now supported when using steady-state dosing.
- Information criteria functions
bic, as well as the shrinkage and
npdefunctions, now have methods for
predictmethod now works for models fitted with
- Estimation of models with dose control parameters is now supported both for closed-form and ODE based models.
NCA.lambdazto filter out tiny concentrations.
- Support for passing
- Many new docstrings.
PKPDAnalyticalProblemhas been renamed to
DataInterpolationshas been renamed to
- 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
- Fix printing of coefficient tables when the calculation of the covariance matrix has failed.
- Fix printing of the number of successful bootstrap samples.
- 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.