Package index • SimuRg

Datasets and objects

Datasets that were used in package examples

Examples of SimuRg objects

GCO: Generalized Control Object (GCO)
GFO: Generalized Fit Object (GFO)
GMO: Generalized Model Object (GMO)
GSI: Generalized Simulations Input (GSI)
GSO: Generalized Simulations Output (GSO)
gfo4cov: Warfarin PopPK model fitting output (4-covariate model)
gmo_pk1c: One-compartment PK generalized model object (GMO)
gsi_pk1c: Generalized simulations input (GSI) for one-compartment PK example

Functions to perform model calibration and find optimal statistical, structural or covariate model

sg_fit(): Optimize model with Monolix or Simurg core fitter
sg_multistart(): Build multistart scenarios with varying initial values
sg_modbuild(): Build estimation model scenarios
sg_modcomp(): Returns dataframe with summary statistics for model comparison

Functions to convert input, output or structural model files between different formats

sg_converter(): Convert Monolix project output to R objects
sg_translator(): Translate structural models between rxode2 and MLXTRAN syntax

Functions to access model goodness-of-fit

sg_parsum(): Extract parameter summary (theta, eta, SE, RSE, CI, CV, shrinkage)
sg_modbuild(): Build estimation model scenarios
sg_gof_obpr(): Observed vs predicted plot
sg_gof_res(): Create residual diagnostic plots
sg_gof_par_dist(): Plot distributions of individual parameters with optional theoretical density
sg_gof_res_dist(): Plot distribution or QQ-plot of residuals from NONMEM/Simurg run
sg_gof_par_cov(): Plot random effects or individual parameters vs covariates
sg_gof_tp(): Plot time profiles of observed and predicted values from GFO $SDTAB.

Functions to perform simulations with the model

Functions to perform simulation-based analysis of the model

sg_vpc_sim(): Perform simulations for VPC plot
sg_vpc_vis(): Visual Predictive Check (VPC) Function
sg_covsens_sim(): Covariate sensitivity analysis via simulation
sg_covsens_vis(): Visualisation of covariate sensitivity analysis results
sg_predist_sim(): Perform simulations for prediction distribution plots
sg_predist_vis(): Generate prediction distribution visualizations from sg_predist_sim() simulation results
sg_localsens_sim(): Perform local sensitivity analysis simulations
sg_localsens_vis(): Visualize Local Sensitivity Analysis Results
sg_globalsens_sim(): Global sensitivity analysis via PRCC or eFAST
sg_globalsens_vis(): Visualize global sensitivity analysis results
sg_vpop_est(): Perform generation of synthetic datasets for an empirical distribution

Functions to help working with the SimuRg objects