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