Building, Fitting and Evaluating PK/PD Modeles

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Documentation for package ‘SimuRg’ version 0.2.0

• DESCRIPTION file
• Package NEWS
• Package README

Help Pages

data_pbc	Primary Biliary Cirrhosis (PBC) dataset
ds_covval	Warfarin covariate values dataset
gfo4cov	Warfarin PopPK model fitting output (4-covariate model)
parest	Warfarin population PK parameter estimates
sg_converter	Convert Monolix project output to R objects
sg_covsens_sim	Covariate sensitivity analysis via simulation
sg_covsens_vis	Visualisation of covariate sensitivity analysis results
sg_dummy	The function to store common parameters description
sg_fit	Run fit with monolix/simurg/nonmem 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 the fitted data
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_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