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>.

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 ORCID iD [aut, cre], France Mentré ORCID iD [aut], Jérémy Seurat ORCID iD [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:

Reference manual: PFIM.pdf
Vignettes: Design evaluation and optimization in discrete space (source, R code)
Design evaluation and optimization in continuous space (source, R code)
Library of models (source, R code)

Downloads:

Package source: PFIM_7.0.tar.gz
Windows binaries: r-devel: PFIM_7.0.zip, r-release: PFIM_6.1.zip, r-oldrel: PFIM_6.1.zip
macOS binaries: r-release (arm64): PFIM_6.1.tgz, r-oldrel (arm64): PFIM_6.1.tgz, r-release (x86_64): PFIM_7.0.tgz, r-oldrel (x86_64): PFIM_7.0.tgz
Old sources: PFIM archive

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