Population Fisher Information Matrix

Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix; see and . Supports population, individual, and Bayesian 'FIMs', covariates, inter-occasion variability, and D-optimal search ('Fedorov-Wynn', multiplicative, simplex, 'PSO', 'PGBO').


Reference manual

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install.packages("PFIM")

8.0.1 by France Mentré, 7 days ago


https://github.com/iame-researchCenter/PFIM


Report a bug at https://github.com/iame-researchCenter/PFIM/issues


Browse source code at https://github.com/cran/PFIM


Authors: Romain Leroux [aut] , France Mentré [cre] , Lucie Fayette [ctb] , Antoine Croxo [ctb] , Jérémy Seurat [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports utils, Deriv, Rcpp, methods, deSolve, purrr, stringr, S7, Matrix, ggplot2, kableExtra, tibble, scales, stats, rmarkdown, rlang, knitr, tools, grDevices

Suggests testthat, withr

Linking to Rcpp, RcppArmadillo


See at CRAN