Package: PFIM
Type: Package
Title: Population Fisher Information Matrix
Version: 6.0
Date: 2023-11-27
Authors@R: c(person(given = "France",
           family = "Mentré",
           role = c("aut"),
           email = "france.mentre@inserm.fr"),
    person(given = "Romain",
           family = "Leroux",
           role = c("aut","cre"),
           email = "romain.leroux@inserm.fr"),
    person(given = "Jérémy",
           family = "Seurat",
           role = c("aut"),
           email = "jeremy.seurat@inserm.fr"),
    person(given = "Lucie",
           family = "Fayette",
           role = c("aut"),
           email = "lucie.fayette@inserm.fr"),      
    person(given = "Emmanuelle",
           family = "Comets",
           role = c("ctb")),  
    person(given = "Sylvie",
           family = "Retout",
           role = c("ctb")))       
NeedsCompilation: no
Description: 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>.
Depends: R (>= 4.0.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports: inline, utils, methods, deSolve, Deriv, devtools, scales,
        ggplot2, Matrix, pracma, stringr, Rcpp, knitr, rmarkdown,
        kableExtra
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Collate: 'GenericMethods.R' 'Administration.R'
        'AdministrationConstraints.R' 'Arm.R' 'Fim.R' 'BayesianFim.R'
        'ModelError.R' 'Combined1.R' 'Constant.R' 'Design.R'
        'Distribution.R' 'ModelParameter.R' 'LibraryOfPDModels.R'
        'LibraryOfPKModels.R' 'LibraryOfModels.R'
        'LibraryOfPKPDModels.R' 'Model.R' 'PFIMProject.R'
        'Evaluation.R' 'OptimizationAlgorithm.R'
        'FedorovWynnAlgorithm.R' 'IndividualFim.R' 'LogNormal.R'
        'ModelODE.R' 'ModelAnalytic.R' 'ModelAnalyticBolus.R'
        'ModelAnalyticSteadyState.R' 'ModelAnalyticBolusSteadyState.R'
        'ModelInfusion.R' 'ModelAnalyticInfusion.R'
        'ModelAnalyticInfusionSteadyState.R' 'ModelBolus.R'
        'ModelODEBolus.R' 'ModelODEDoseInEquations.R'
        'ModelODEDoseNotInEquations.R' 'ModelODEInfusion.R'
        'ModelODEInfusionDoseInEquations.R' 'MultiplicativeAlgorithm.R'
        'Normal.R' 'Optimization.R' 'PFIM-package.R' 'PGBOAlgorithm.R'
        'PSOAlgorithm.R' 'PlotEvaluation.R' 'PopulationFim.R'
        'Proportional.R' 'SamplingTimeConstraints.R' 'SamplingTimes.R'
        'SimplexAlgorithm.R' 'globals.R'
Packaged: 2023-11-07 23:43:31 UTC; Romai
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@inserm.fr>
Repository: CRAN
Date/Publication: 2023-11-08 00:00:06 UTC
