quantVPC {nlmeVPC}

The quantified visual predictive check plot (QVPC)

Description

The quantified visual predictive check visually represents actual and unavailable observations around predicted medians, regardless of the density or shape of the observed data distribution, through the form of a percent.

Usage

quantVPC(orig_data,
         sim_data,
         N_xbin = NULL,
         prob = 0.5,
         X_name = "TIME",
         Y_name = "DV",
         MissingDV = NULL,
         Kmethod = "cluster",                
         maxK = NULL,
         beta = 0.2,
         lambda = 0.3,
         R = 4,
         C1 = 2.5,
         C2 = 7.8, ...)

Arguments

orig_data

A data frame of original data with X and Y variable.

sim_data

A matrix of simulated data with only Y values collected.

N_xbin

Number of bins in X variable. If NULL, optimal number of bins are automatically calcuated using optK function.

prob

Scalar of probability.

X_name

Name of X variable in orig_data (usually "TIME" in pharmacokinetic data).

Y_name

Name of Y variable in orig_data (usually "DV" in pharmacokinetic data).

MissingDV

Name of missing indicator variable in orig_data, which have value 1 if missing, value 0 otherwise. (usually "MDV" in pharmacokinetic data).

Kmethod

The way to calculate the penalty in automatic binning."cluster" or "kernel".

maxK

The maximum number of bins.

beta

Additional parameter for automatic binning, used in optK function.

lambda

Additional parameter for automatic binning, used in optK function.

R

Additional parameter for automatic binning, used in optK function.

C1

Additional parameter for automatic binning, used in optK function.

C2

Additional parameter for automatic binning, used in optK function.

...

Arguments to be passed to methods.

Value

quantVPC plot

References

Post, T.M., et al. (2008) Extensions to the visual predictive check for facilitate model performance evaluation, Journal of pharmacokinetics and pharmacodynamics, 35(2), 185-202

Examples

data(origdata)
data(simdata)
quantVPC(origdata,simdata,prob=0.5,N_xbin=8)