coverageDetailplot {nlmeVPC}

The detailed coverage plot

Description

This function draws the detailed coverage plot for the specific prediction level to check over or under estimate regions in each prediction level. The percentages of observations above the prediction interval are calculated in each bin of the independent variable. Additionally, the percentages of observations below the prediction interval are calculated. The white dots in the plot represent the expected percentages.

Usage

coverageDetailplot(orig_data,
                  sim_data,
                  N_xbin = NULL,
                  predL = 0.5,
                  conf.level = 0.95,
                  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.

predL

Scalar of probability

conf.level

Confidence level of the interval.

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

the detailed coverage 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)
coverageDetailplot(origdata,simdata,predL=0.5,N_xbin=8)