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nlmeVPC  

Visual Model Checking for Nonlinear Mixed Effect Model
View on CRAN: Click here


Download and install nlmeVPC package within the R console
Install from CRAN:
install.packages("nlmeVPC")

Install from Github:
library("remotes")
install_github("cran/nlmeVPC")

Install by package version:
library("remotes")
install_version("nlmeVPC", "2.6")



Attach the package and use:
library("nlmeVPC")
Maintained by
Eun-Kyung Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-04
Latest Update: 2022-12-22
Description:
Various visual and numerical diagnosis methods for the nonlinear mixed effect model, including visual predictive checks, numerical predictive checks, and coverage plots (Karlsson and Holford, 2008, ).
How to cite:
Eun-Kyung Lee (2021). nlmeVPC: Visual Model Checking for Nonlinear Mixed Effect Model. R package version 2.6, https://cran.r-project.org/web/packages/nlmeVPC. Accessed 03 Dec. 2024.
Previous versions and publish date:
2.2 (2021-11-04 13:30), 2.3 (2022-09-07 09:50), 2.5 (2022-09-20 12:06)
Other packages that cited nlmeVPC R package
View nlmeVPC citation profile
Other R packages that nlmeVPC depends, imports, suggests or enhances
Complete documentation for nlmeVPC
Functions, R codes and Examples using the nlmeVPC R package
Some associated functions: FindBestCut . NumericalCheck . VPCgraph . aqrVPC . asVPC . bootVPC . coverageDetailplot . coverageplot . findQuantile . findSIMQ . findSIMQuantile . makeCOVbin . optK . origdata . quantVPC . simdata . 
Some associated R codes: BootVPC.R . FindBestCut.R . Misc.R . NumericalCheck.R . RcppExports.R . VPCgraph.R . aqrVPC.R . asVPC.R . coverage.R . coverageDetailplot.R . global.R . makeCOVbin.R . optK.R . quantVPC.R .  Full nlmeVPC package functions and examples
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