asVPC: Average Shifted Visual Predictive Checks
Version 1.0.2

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.

Browse man pages Browse package API and functions Browse package files

AuthorEun-Kyung Lee
Date of publication2015-05-08 20:02:08
MaintainerEun-Kyung Lee <lee.eunk@gmail.com>
LicenseGPL (>= 2)
Version1.0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("asVPC")

Man pages

asVPC.binW: calculate percentiles of original data using bin-related...
asVPC.distanceW: calculate percentiles of original data using distance-related...
makeCOVbin: make the bins with equal number of observations or using...
origdata: sample original data
read_Simdata: calculate percentiles of original data using bin-related...
simdata: sample sim data
VPC.graph: calculate percentiles of original data using bin-related...

Functions

VPC.graph Man page Source code
asVPC.binW Man page Source code
asVPC.distanceW Man page Source code
makeCOVbin Man page Source code
origdata Man page
read_Simdata Man page Source code
simdata Man page

Files

NAMESPACE
data
data/simdata.rda
data/origdata.rda
R
R/asVPCdistanceW.R
R/makeCOVbin.R
R/asVPCbinW.R
R/VPCgraph.R
R/read_Simdata.R
MD5
DESCRIPTION
man
man/VPC.graph.Rd
man/read_Simdata.Rd
man/asVPC.binW.Rd
man/simdata.Rd
man/origdata.Rd
man/asVPC.distanceW.Rd
man/makeCOVbin.Rd
asVPC documentation built on May 20, 2017, 12:27 a.m.