Population Fisher Information Matrix R package PFIM version 7.0.3 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>. Software Depends: R (>= 4.0.0) Imports: utils, inline, Deriv, methods, deSolve, purrr, stringr, S7, Matrix, ggplot2, Rcpp, RcppArmadillo, pracma, kableExtra, tibble, scales, knitr Suggests: rmarkdown, testthat (>= 3.0.0) Romain Leroux <romainlerouxPFIM@gmail.com> Comprehensive R Archive Network (CRAN) 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] GPL (>= 3) 2026-04-09 application/tgz https://CRAN.R-project.org/package=PFIM doi:10.32614/CRAN.package.PFIM