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 details

AuthorFrance Mentré [aut] (<https://orcid.org/0000-0002-7045-1275>), Hervé Le Nagard [aut], Romain Leroux [aut, cre], Jérémy Seurat [aut], Tran Bach Nguyen [ctb], Caroline Bazzoli [ctb], Emmanuelle Comets [ctb], Anne Dubois [ctb], Cyrielle Dumont [ctb], Giulia Lestini [ctb], Thi Huyen Tram Nguyen [ctb], Thu Thuy Nguyen [ctb], Sylvie Retout [ctb]
MaintainerRomain Leroux <romain.leroux@inserm.fr>
LicenseGPL (>= 2)
Version5.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PFIM")

Try the PFIM package in your browser

Any scripts or data that you put into this service are public.

PFIM documentation built on June 24, 2022, 9:06 a.m.