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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_7.0.zip, r-oldrel: PFIM_7.0.zip
macOS binaries: r-release (arm64): PFIM_7.0.tgz, r-oldrel (arm64): PFIM_7.0.tgz, r-release (x86_64): PFIM_7.0.tgz, r-oldrel (x86_64): PFIM_7.0.tgz
Old sources: PFIM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PFIM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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