Provides methods for model building and model evaluation of mixed effects models using
'Monolix' <https://monolix.lixoft.com>. 'Monolix' is a software tool for nonlinear mixed effects
modeling that must have been installed in order to use 'Rsmlx'.
Among other tasks, 'Rsmlx' provides a powerful tool for automatic PK model building, performs
statistical tests for model assessment, bootstrap simulation and likelihood profiling for
computing confidence intervals. 'Rsmlx' also proposes several automatic covariate search methods for
mixed effects models.
graphics, grDevices, utils, stats, MASS, ggplot2, gridExtra,
dplyr
mlxConnectors.R bootstrap.R buildmlx.R buildVar.R buildAll.R
confintmlx.R correlationModelSelection.R
covariateModelSelection.R covariateSearch.R
errorModelSelection.R llp.R newConnectors.R setSettings.R
testmlx.R zzz.R RsmlxTools.R pkbuild.R pkpopini.R
whichPKmodel.R writeDataSmlx.R

graphics, grDevices, utils, stats, MASS, ggplot2, gridExtra,
dplyr, tidyr
mlxConnectors.R bootstrap.R buildmlx.R buildVar.R buildAll.R
confintmlx.R correlationModelSelection.R
covariateModelSelection.R covariateSearch.R
errorModelSelection.R llp.R newConnectors.R setSettings.R
testmlx.R zzz.R RsmlxTools.R readDatamlx.R pkbuild.R pkpopini.R
whichPKmodel.R writeDataSmlx.R

General Non-linear Optimization Using Augmented Lagrange
Multiplier Method

R (>= 2.10.0), stats, truncnorm, parallel

General Non-linear Optimization Using Augmented Lagrange Multiplier Method

General Non-linear Optimization Using Augmented Lagrange Multiplier Method.

c(person(given = "Peter", family = "Wittek", role = c("aut"), email = ""),
person(given = "Shichao", family = "Gao", role = c("cre"), email = "xgdgsc@gmail.com"))
Somoclu is a cluster-oriented implementation of self-organizing maps. It 			     relies on MPI for distributing the workload, and it can be accelerated by 			     CUDA on a GPU cluster. A sparse kernel is also included, which is useful for 		     training maps on vector spaces generated in text mining processes.