PFIM: Population Fisher Information Matrix

Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix. Methods used in the package refer to Mentré F, Mallet A, Baccar D (1997) <doi:10.1093/biomet/84.2.429>, Retout S, Comets E, Samson A, Mentré F (2007) <doi:10.1002/sim.2910>, Bazzoli C, Retout S, Mentré F (2009) <doi:10.1002/sim.3573>, Le Nagard H, Chao L, Tenaillon O (2011) <doi:10.1186/1471-2148-11-326>, Combes FP, Retout S, Frey N, Mentré F (2013) <doi:10.1007/s11095-013-1079-3> and Seurat J, Tang Y, Mentré F, Nguyen TT (2021) <doi:10.1016/j.cmpb.2021.106126>.

Package overview Design evaluation and optimization in continuous space" Design evaluation and optimization in discrete space" Library of models"

Vignettes Man pages API and functions Files

Package details
Author	Romain Leroux [aut, cre] (ORCID: <https://orcid.org/0009-0009-5779-5303>), France Mentré [aut] (ORCID: <https://orcid.org/0000-0002-7045-1275>), Jérémy Seurat [ctb]
Maintainer	Romain Leroux <romainlerouxPFIM@gmail.com>
License	GPL (>= 3)
Version	7.0.2
URL	http://www.pfim.biostat.fr/ https://github.com/packagePFIM
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("PFIM")`