Simulation and visualization of complex
models for longitudinal data. The models are encoded using the model coding
language Mlxtran, automatically converted into C++ codes, compiled on the
fly and linked to R using the Rcpp package. That allows one to implement
very easily complex ODE-based models and complex statistical models,
including mixed effects models, for continuous, count, categorical, and
time-to-event data.
c(
person( "Marc", "Lavielle", role = c("aut","cre"), email = "Marc.Lavielle@inria.fr" ),
person( "Romain", "Francois", role = "aut", email = "romain@r-enthusiasts.com"),
person( "Fazia", "Bellal", role = "ctb" )
)
Marc Lavielle [aut, cre],
Romain Francois [aut],
Fazia Bellal [ctb]

Simulation and visualization of complex
models for longitudinal data. The models are encoded using the model coding
language 'Mlxtran', automatically converted into C++ codes, compiled on the
fly and linked to R using the 'Rcpp' package. That allows one to implement
very easily complex ODE-based models and complex statistical models,
including mixed effects models, for continuous, count, categorical, and
time-to-event data.
c(
person( "Marc", "Lavielle", role = c("aut","cre"), email = "Marc.Lavielle@inria.fr" ),
person( "Raphael", "Kuate", role = "ctb", email = "raphael.kuate@inria.fr"),
person( "Romain", "Francois", role = "ctb", email = "romain@r-enthusiasts.com"),
person( "Fazia", "Bellal", role = "ctb" )
)
Marc Lavielle [aut, cre],
Raphael Kuate [ctb],
Romain Francois [ctb],
Fazia Bellal [ctb]

c(
person( "Marc", "Lavielle", role = c("aut","cre"), email = "Marc.Lavielle@inria.fr" ),
person( "Raphael", "Kuate", role = "ctb", email = "raphael.kuate@inria.fr")
)
XML, Rcpp (>= 0.11.3), tools, tcltk, methods, graphics,
grDevices, utils, stats
Marc Lavielle [aut, cre],
Raphael Kuate [ctb]

XML, Rcpp (>= 0.11.3), tools, methods, graphics, grDevices,
utils, stats, tcltk

c(
person( "Marc", "Lavielle", role = c("aut","cre"), email = "Marc.Lavielle@inria.fr" )
)

Simulation and visualization of complex
models for longitudinal data. The models are encoded using the model coding
language 'Mlxtran' and automatically converted into C++ codes.
That allows one to implement very easily complex ODE-based models and complex
statistical models, including mixed effects models, for continuous, count,
categorical, and time-to-event data.
c(
person( "Marc", "Lavielle", role = c("aut","cre"), email = "Marc.Lavielle@inria.fr" ),
person( "Esther", "Ilinca", role = c("ctb"), email = "esther.ilinca@lixoft.com" ),
person( "Raphael", "Kuate", role = c("ctb"), email = "raphael.kuate@lixoft.com" ))
XML, Rcpp (>= 0.11.3), reshape2, gridExtra, shiny
tools, methods, graphics, grDevices, utils, stats
'apiTools.R' 'apiManager.R' 'mlxComputeRCleaner.R'
'mlxComputeRLibraryBuilder.R' 'addFieldsFromHeader.R'
'catplotmlx.R' 'commentModel.R' 'convertmlx.R' 'exposure.R'
'generateModelFromPkModel.R' 'ggplotmlx.R' 'hformat.R'
'hgdata.R' 'inlineDataFrame.R' 'inlineModel.R' 'isfield.R'
'kmplotmlx.R' 'mlxplore.R' 'monolix2simulx.R' 'pkmodel.R'
'prctilemlx.R' 'processing_monolix.R' 'processing_setting.R'
'processing_target.R' 'readVector.R' 'readdatamlx.R'
'shinymlx.R' 'simpopmlx.R' 'simulR.R' 'simulx.R' 'statmlx.R'
'stoolsmlx.R' 'toolsmlx.R' 'translateIOV.R' 'translateIOVind.R'
'uuid.R' 'writeDatamlx.R'
Marc Lavielle [aut, cre],
Esther Ilinca [ctb],
Raphael Kuate [ctb]