Data & Model

• Create/load project
• The data
• The structural model
• The residual error model
• The individual parameters
• Save/create MLXTran project

Tasks & Workflows

• Estimate the population parameters
• Estimate the Fisher information matrix
• Estimate the individual parameters
• Estimate the log-likelihood
• Display the graphics
• Design a workflow
• Convergence assessment

Graphics

• Settings
• summary
• spaghetti plot
• individual fits
• observations v.s. predictions
• residuals
• visual predictive checks (VPC)
• numerical predictive checks (NPC)
• BLQ data
• categorized data
• prediction distribution
• covariates
• parameters distribution
• random effects (boxplot)
• random effects (joint distributions)
• convergence of SAEM
• Modify/save settings
• Stratify
• Axes