Learn R Programming
⚠️There's a newer version (1.0.0) of this package.Take me there.

ncappc (version 0.1)

NCA Calculation and Population PK Model Diagnosis

Description

A flexible tool is presented here that can perform (i) traditional non-compartmental analysis (NCA) and (ii) simulation-based posterior predictive checks for a population pharmacokinetic (PK) model using NCA metrics.

Copy Link

Version

Install

install.packages('ncappc')

Monthly Downloads

249

Version

0.1

License

GPL-3

Maintainer

Chayan Acharya

Last Published

March 4th, 2015

Functions in ncappc (0.1)

nca.npde

Calculates individual normalized prediction distribution errors (NPDE) from PDE data.
est.nca

Estimates individual NCA metrics from concentration vs time data. data.
nca.npde.plot

Plots population histogram of the NCA metrics selected for model diagnosis.
histobs.plot

Plots histogram of selected set of NCA metrics.
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.deviation.plot

Plot individual deviation of NCA metrics estimated from observed and simulated data
dv.plot

Plots drug plasma concentration vs time data
ncappc

Performs NCA calculations and population PK model diagnosis.
calc.stat

Calculates a set of statistics for a given array of numbers.
histpop.plot

Plots population histogram of the NCA metrics selected for model diagnosis.