R: NCA Calculations and Population Model Diagnosis

# NCA Calculations and Population Model Diagnosis

## Documentation for package ‘ncappc’ version 1.0.0

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

## Help Pages

calc.stat | Calculates a set of statistics for a given array of numbers.
dv.plot | Plots drug plasma concentration vs time data
est.nca | Estimate individual NCA metrics.
histobs.plot | Plots histogram of selected set of NCA metrics.
histpop.plot | Plots population histogram of the NCA metrics selected for model diagnosis.
nca.check.obs | Check observed data
nca.check.sim | Check simulated data
nca.deviation.plot | Plot individual deviation of NCA metrics estimated from observed and simulated data
nca.ind.data | Prepare individual PK data
nca.npde | Calculates individual normalized prediction distribution errors (NPDE) from PDE data.
nca.npde.plot | Plots population histogram of the NCA metrics selected for model diagnosis.
nca.pde.deviation.outlier | Calculates individual prediction distribution errors (PDE) and scaled deviation of NCA metrics estimated from observed and simulated data. Identifies outlier to population PK model.
nca.read.sim | Check observed data
ncappc | Performs NCA calculations and population PK model diagnosis.
nca_ind_data | Prepare individual PK data
out.digits | output value with correct digits and trailing zero
read_nm_table | Read NONMEM table files produced.