PFIM: Population Fisher Information Matrix

Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix; see <doi:10.1093/biomet/84.2.429> and <doi:10.1016/S0169-2607(00)00117-6>. Supports population, individual, and Bayesian 'FIMs', covariates, inter-occasion variability, and D-optimal search ('Fedorov-Wynn', multiplicative, simplex, 'PSO', 'PGBO').

Version: 8.0.1
Depends: R (≥ 4.5.0)
Imports: utils, Deriv, Rcpp, methods, deSolve, purrr, stringr, S7 (≥ 0.2.0), Matrix, ggplot2 (≥ 3.5.0), kableExtra, tibble, scales, stats, rmarkdown, rlang, knitr, tools, grDevices
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.2.3), withr
Published: 2026-10-16
DOI: 10.32614/CRAN.package.PFIM
Author: Romain Leroux ORCID iD [aut], France Mentré ORCID iD [cre], Lucie Fayette ORCID iD [ctb], Antoine Croxo ORCID iD [ctb], Jérémy Seurat ORCID iD [ctb]
Maintainer: France Mentré <pfim at inserm.fr>
BugReports: https://github.com/iame-researchCenter/PFIM/issues
License: GPL-3
URL: https://github.com/iame-researchCenter/PFIM
NeedsCompilation: yes
Citation: PFIM citation info
Materials: NEWS
In views: Pharmacokinetics
CRAN checks: PFIM results [issues need fixing before 2026-10-20]

Documentation:

Reference manual: PFIM.html , PFIM.pdf
Vignettes: Library of models (source, R code)
Design evaluation and optimization in discrete space (source, R code)
Design evaluation and optimization in continuous space (source, R code)
Design evaluation and optimization with covariates — analytical PK model (source, R code)
Optimizing a Sparse PK Design in Pediatric Patients (source, R code)
G-CSF PK-PD design evaluation (source, R code)

Downloads:

Package source: PFIM_8.0.1.tar.gz
Windows binaries: r-devel: PFIM_8.0.zip, r-release: PFIM_8.0.zip, r-oldrel: PFIM_8.0.zip
macOS binaries: r-release (arm64): PFIM_7.0.3.tgz, r-oldrel (arm64): PFIM_7.0.3.tgz, r-release (x86_64): PFIM_8.0.tgz, r-oldrel (x86_64): PFIM_8.0.tgz
Old sources: PFIM archive

Linking:

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