Package index • pmxhelpr

All functions
`breaks_time()`	Determine axis breaks automatically for time variables
`data_sad`	Example NONMEM Analysis-Ready Dataset for PK Modeling of a Single Ascending Dose Study
`data_sad_nca`	Example NCA Parameter Dataset Output from PKNCA
`df_addpred()`	Add population predictions (`PRED`) to a data.frame
`df_doseprop()`	Compute and tabulate estimates for log-log regression
`df_loglog()`	Compute estimate table for log-log regression
`df_mrgsim_replicate()`	Execute a visual predictive check (VPC) simulation using `mrgsolve`
`df_nobsbin()`	Count the non-missing observations in each exact bin
`df_pcdv()`	Perform prediction-correction of the dependent variable
`dvtime_caption()`	Define a caption for `plot_dvtime`
`mod_loglog()`	Perform a log-log Regression
`model_mread_load()`	Load an mrgsolve model file from the internal model library
`plot_doseprop()`	Plot a dose-proportionality assessment via power law (log-log) regression
`plot_dvtime()`	Plot a dependent variable versus time
`plot_legend()`	Plot a legend for a visual predictive check (VPC)
`plot_vpc_exactbins()`	Plot a visual predictive check (VPC) with exact time bins
`pmxhelpr_vpc_theme()`	Customized VPC theme with pmxhelpr default aesthetics

Reference