# Building, Fitting and Evaluating PK/PD Modeles

## Documentation for package ‘SimuRg’ version 0.2.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

data_pbc | Primary Biliary Cirrhosis (PBC) dataset
ds_covval | Warfarin covariate values dataset
GCO | Generalized Control Object (GCO)
GFO | Generalized Fit Object (GFO)
gfo4cov | Warfarin PopPK model fitting output (4-covariate model)
GMO | Generalized Model Object (GMO)
gmo_pk1c | One-compartment PK generalized model object (GMO)
GSI | Generalized Simulations Input (GSI)
gsi_pk1c | Generalized simulations input (GSI) for one-compartment PK example
GSO | Generalized Simulations Output (GSO)
parest | Warfarin population PK parameter estimates
read_smrg_ctrl | Read or validate a generalized control object (GCO)
read_smrg_obj | Read or validate a generalized fit object
sg_converter | Convert Monolix project output to R objects
sg_covsearch | Stepwise covariate modeling (SCM) search
sg_covsens_sim | Covariate sensitivity analysis via simulation
sg_covsens_vis | Visualisation of covariate sensitivity analysis results
sg_fit | Optimize model with Monolix or Simurg core fitter
sg_globalsens_sim | Global sensitivity analysis via PRCC or eFAST
sg_globalsens_vis | Visualize global sensitivity analysis results
sg_gof_obpr | Observed vs predicted plot
sg_gof_par_cov | Plot random effects or individual parameters vs covariates
sg_gof_par_dist | Plot distributions of individual parameters with optional theoretical density
sg_gof_res | Create residual diagnostic plots
sg_gof_res_dist | Plot distribution or QQ-plot of residuals from NONMEM/Simurg run
sg_gof_tp | Plot time profiles of observed and predicted values from GFO $SDTAB.
sg_localsens_sim | Perform local sensitivity analysis simulations
sg_localsens_vis | Visualize Local Sensitivity Analysis Results
sg_modbuild | Build estimation model scenarios
sg_modcomp | Returns dataframe with summary statistics for model comparison
sg_multistart | Build multistart scenarios with varying initial values
sg_parsum | Extract parameter summary (theta, eta, SE, RSE, CI, CV, shrinkage)
sg_predist_sim | Perform simulations for prediction distribution plots
sg_predist_vis | Generate prediction distribution visualizations from sg_predist_sim() simulation results
sg_sim | Perform simulations from an rxode2 model
sg_sim_tp | Time-profile plotting with optional summary bands
sg_translator | Translate structural models between rxode2 and MLXTRAN syntax
sg_vpc_sim | Perform simulations for VPC plot
sg_vpc_vis | Visual Predictive Check (VPC) Function
sg_vpop_est | Perform generation of synthetic datasets for an empirical distribution
warfarin | Warfarin PKPD dataset