PFIM: Population Fisher Information Matrix (original) (raw)
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 |
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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 |
Maintainer: | Romain Leroux |
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:
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