Learn R Programming

asVPC (version 1.0.2)

Average Shifted Visual Predictive Checks

Description

The visual predictive checks are well-known method to validate the nonlinear mixed effect model, especially in pharmacometrics area. The average shifted visual predictive checks are the newly developed method of Visual predictive checks combined with the idea of the average shifted histogram.

Copy Link

Version

Install

install.packages('asVPC')

Monthly Downloads

18

Version

1.0.2

License

GPL (>= 2)

Maintainer

Last Published

May 8th, 2015

Functions in asVPC (1.0.2)

asVPC.distanceW

calculate percentiles of original data using distance-related weight percentiles of simulated data with corresponding confidence interval
asVPC.binW

calculate percentiles of original data using bin-related weight percentiles of simulated data with corresponding confidence interval
makeCOVbin

make the bins with equal number of observations or using user-defined breaks
simdata

sample sim data
origdata

sample original data
read_Simdata

calculate percentiles of original data using bin-related weight percentiles of simulated data with corresponding confidence interval
VPC.graph

calculate percentiles of original data using bin-related weight percentiles of simulated data with corresponding confidence interval