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:	6.0.3
Depends:	R (≥ 4.0.0)
Imports:	inline, utils, methods, deSolve, Deriv, scales, devtools, ggplot2, Matrix, pracma, stringr, Rcpp, knitr, rmarkdown, kableExtra
Published:	2024-03-23
Author:	France Mentré [aut], Romain Leroux [aut, cre], Jérémy Seurat [aut], Lucie Fayette [aut], Emmanuelle Comets [ctb], Sylvie Retout [ctb]
Maintainer:	Romain Leroux <romain.leroux at inserm.fr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://www.pfim.biostat.fr/
NeedsCompilation:	no
CRAN checks:	PFIM results

Documentation:

Reference manual:	PFIM.pdf
Vignettes:	Design evaluation and optimization in discrete space Design evaluation and optimization in continuous space Library of models

Downloads:

Package source:	PFIM_6.0.3.tar.gz
Windows binaries:	r-devel: PFIM_6.0.3.zip, r-release: PFIM_6.0.3.zip, r-oldrel: PFIM_6.0.3.zip
macOS binaries:	r-release (arm64): PFIM_6.0.3.tgz, r-oldrel (arm64): PFIM_6.0.3.tgz, r-release (x86_64): PFIM_6.0.3.tgz, r-oldrel (x86_64): PFIM_6.0.3.tgz
Old sources:	PFIM archive

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