Package: HomoPolymer
Type: Package
Title: Theoretical Model to Simulate Radical Polymerization
Version: 1.0
Date: 2014-12-23
Author: Gianmarco Polotti
Maintainer: Gianmarco Polotti <gianmarco.polotti@gmail.com>
Description: A theoretical model to simulate radical polymerization. Material, energy and population balances are integrated for batch, semi batch and continuous process in a ideally mixed reactor. Limitations: single monomer (i.e.homo polymer), one phase (organic, aqueous). Datasets with chemical-physical data for the most common monomers is included. Some background in polymer science is suggested for its use. Graphical interface for a quick and friendly use is available.
Depends: R (>= 3.0.0), RGtk2, MenuCollection
Imports: deSolve
LazyData: true
LazyLoad: true
License: GPL-2
Packaged: 2015-01-11 19:21:42 UTC; PolGia0
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-01-12 10:27:23
Package: PKgraph
Title: Model diagnostics for population pharmacokinetic models
Version: 1.7
Date: 2012-03-12
Depends: R (>= 2.10.0), RGtk2, gWidgetsRGtk2, cairoDevice, lattice, rggobi, ggplot2, proto
Imports: RGtk2, gWidgetsRGtk2
Author: Xiaoyong Sun
Maintainer: Xiaoyong Sun <johnsunx1@gmail.com>
Description: PKgraph provides a graphical user interface for population
pharmacokinetic model diagnosis. It also provides an integrated
and comprehensive platform for the analysis of pharmacokinetic
data including exploratory data analysis, goodness of model
fit, model validation and model comparison. Results from a
variety of modeling fitting software, including NONMEM,
Monolix, SAS and R, can be used. PKgraph is programmed in R,
and uses the R packages lattice, ggplot2 for static graphics,
and rggobi for interactive graphics.
License: GPL (>= 2)
LazyData: true
Collate: global.r psnCdd.r psnBootstrap.r functionOK.r proto.r ggobi.r
function.r handler.r PKgraphlayout.r PKgraph.r
Repository: CRAN
Date/Publication: 2012-03-14 06:21:01
Packaged: 2012-03-14 02:09:10 UTC; sunx1
Package: brainGraph
Type: Package
Version: 0.62.0
Date: 2016-04-22
Title: Graph Theory Analysis of Brain MRI Data
Author: Christopher G. Watson <cgwatson@bu.edu>
Maintainer: Christopher G. Watson <cgwatson@bu.edu>
Description: A set of tools for performing graph theory analysis of brain MRI
data. It is best suited to data from a Freesurfer analysis (cortical
thickness, volumes, local gyrification index, surface area), but also works
with e.g., tractography data from FSL. It contains a graphical user
interface for graph visualization and data exploration.
URL: https://github.com/cwatson/brainGraph
BugReports:
https://groups.google.com/forum/?hl=en#!forum/brainGraph-help
LazyData: true
Depends: R (>= 3.0.0), igraph (>= 1.0.0), RGtk2, cairoDevice
Imports: abind, ade4, boot, data.table, foreach, ggplot2, Hmisc, methods, oro.nifti, permute, parallel, plyr, RcppEigen, scales
License: GPL-3
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-22 17:43:37 UTC; cwatson
Repository: CRAN
Date/Publication: 2016-04-23 08:39:23
providing 
.