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>.
Version: 7.0 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) Published: 2025-07-02 DOI: 10.32614/CRAN.package.PFIM Author: Romain Leroux [aut, cre], France Mentré [aut], Jérémy Seurat [ctb] Maintainer: Romain Leroux <romainlerouxPFIM at gmail.com> BugReports: https://github.com/packagePFIM/PFIM/issues License: GPL (≥ 3) URL: http://www.pfim.biostat.fr/, https://github.com/packagePFIM NeedsCompilation: no Citation: PFIM citation info Materials: NEWS CRAN checks: PFIM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=PFIM to link to this page.
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