Auto-init available for any model, even custom! Find good initial values in one click even for complex dynamics!

New bioequivalence module in PKanalix! Discover a new task with intuitive settings, results and plots. 

Monolix library has new 7000 parent – metabolite models

New outcomes are available in Simulx! Post-process your outputs to get the first/last measurement per individual, or per individual and occasion.

All settings for model building and convergence assessment are now saved and reloaded with your project.

New integrated editor to quickly change your structural model and check syntax directly in the interface! Also available in Simulx!

Is your model able to predict a new situation? Overlay a new dataset on your predictions in the exploration tab!

Fix the correlations in one click directly in the GUI.

Propagate the parameter uncertainty computed in Monolix to your predictions with a ready-to-use element.

Stratify summary tables in PKanalix as you would do it for plots! Compare NCA statistics for different groups, or for a selected population.

Set all SAEM iterations to zero in one click! Useful to re-run all tasks without re-estimating the population parameters.

Should you include a correlation at ID or at OCC level? Ask the proposal! It can now suggest correlations also at the occasion level.

Updates to lixoftConnectors: get plots as ggplot objects

Re-order subplots with the new features in the stratification panel

Need to further analyse your simulations with NCA? You can now export your simulations as a formatted dataset, ready to use in PKanalix or Monolix.

New plot in PKanalix showing the NCA individual fits! Use it to show the lambda_z regressions or raw data per individual.

VPC plot can be re-calculated for times after the last dose

Export VPC simulations is a new option in the Preferences

NaN in simulations of survival models are no longer a problem for the VPC

Dataset fingerprint: unique identification to secure the validity of results.

Check the covariate statistics directly in the data tab.

Prior now available also for the standard deviation of random effects.

SAMBA: a NEW covariate model building strategy, even faster than COSSAC, with much fewer runs and similar results!

New options for mean and error bars bring more modeling insights

Sycomore algorithms upgraded: now loading projects is faster