andrewhooker/xpose4: Diagnostics for Nonlinear Mixed-Effect Models

A model building aid for nonlinear mixed-effects (population) model analysis using NONMEM, facilitating data set checkout, exploration and visualization, model diagnostics, candidate covariate identification and model comparison. The methods are described in Keizer et al. (2013) <doi:10.1038/psp.2013.24>, and Jonsson et al. (1999) <doi:10.1016/s0169-2607(98)00067-4>.

Getting started

Package details

Maintainer
LicenseLGPL (>= 3)
Version4.7.3
URL https://uupharmacometrics.github.io/xpose4/ https://github.com/UUPharmacometrics/xpose4
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("andrewhooker/xpose4")
andrewhooker/xpose4 documentation built on Feb. 26, 2024, 4:07 p.m.