nmw (version 0.1.5)

Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics

Description

This shows how NONMEM(R) software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained.

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Version

Install

install.packages('nmw')

Monthly Downloads

286

Version

0.1.5

License

GPL-3

Maintainer

Kyun-Seop Bae

Last Published

May 10th, 2023

Functions in nmw (0.1.5)

TabStep

Table Step

TrimOut

Trimming and beutifying NONMEM original OUTPUT file

environment for internal data

EstStep

Estimation Step

MinUtil

Internal Min Util Functions

Objs

Internal Obj Functions

CombDmExPc

Combine the demographics(DM), dosing(EX), and DV(PC) tables into a new NONMEM dataset

nmw-package

Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics

AddCox

Add a Covariate Column to an Existing NONMEM dataset