R (>= 3.0.0), graphics, grDevices, methods, rgl, geometry,
oro.dicom (>= 0.5.0), ptinpoly
Designed for the import, analysis, and visualization of dosimetric and volumetric data in Radiation Oncology, the tools herein enable import of dose-volume histogram information from Varian's 'Eclipse' platform and 3D structural representations and dosimetric information from 'DICOM-RT' files.  These tools also enable subsequent visualization and statistical analysis of these data.

Designed for the import, analysis, and visualization of dosimetric and volumetric data in Radiation Oncology, the tools herein enable import of dose-volume histogram information from multiple treatment planning system platforms and 3D structural representations and dosimetric information from 'DICOM-RT' files.  These tools also enable subsequent visualization and statistical analysis of these data.

R (>= 3.0.0), graphics, grDevices, methods, oro.dicom (>=
0.5.0), ptinpoly

Radon and Soil Gas Transport in 2D Porous Medium
Contains 4 different functions for radon and soil gas transport in a porous medium.

Package for statistical age models analysis in optically
stimulated luminescence dating
Package for estimating parameters of statistical age
models in optically stimulated luminescence dating dynamically.

Numeric routines for optical stimulated luminescence dating
Package for optimizing regular numeric problems in optical stimulated luminescence dating

Interactive Gadgets for Radial Visualization Approaches
person("José", "Matute", email = "jmatuteflores@gmail.com",
role = c("aut", "cre"))
import, ggplot2, tidyr, dplyr, miniUI, shiny, shinyjs, caret,
rlang, shinyscreenshot
Shiny-based interactive gadgets of radial visualization methods and extensions thereof.

Analysis of Large-Scale Radio-Genomic Data
c(
person("Venkata","Manem", email = "mail2mvskumar@gmail.com",
role = c("aut")),
person("Petr","Smirnov", email = "petr.smirnov@uhnresearch.ca",
role = c("aut")),
person("Ian","Smith", email = "ianc.smith@mail.utoronto.ca",
role = c("aut")),
person("Meghan","Lambie", email = "megan.lambie@mail.utoronto.ca",
role = c("aut")),
person("Christopher","Eeles", email = "christopher.eeles@uhnresearch.ca",
role = c("aut")),
person("Scott", "Bratman", email = "scott.bratman@rmp.uhn.ca",
role = c("aut")),
person("Benjamin","Haibe-Kains", email = "benjamin.haibe.kains@utoronto.ca",
role = c("aut","cre"))
)
Computational tool box for radio-genomic analysis which integrates
radio-response data, radio-biological modelling and comprehensive cell line
annotations for hundreds of cancer cell lines. The 'RadioSet' class enables
creation and manipulation of standardized datasets including information
about cancer cells lines, radio-response assays and dose-response indicators.
Included methods allow fitting and plotting dose-response data using
established radio-biological models along with quality control to validate
results. Additional functions related to fitting and plotting dose response
curves, quantifying statistical correlation and calculating area under the
curve (AUC) or survival fraction (SF) are included. For more details please
see the included documentation, references, as well as:
Manem, V. et al (2018) <doi:10.1101/449793>.
PharmacoGx, Biobase, RColorBrewer, caTools, magicaxis,
methods, reshape2, KernSmooth, cluster, Matrix, scales
Venkata Manem [aut],
Petr Smirnov [aut],
Ian Smith [aut],
Meghan Lambie [aut],
Christopher Eeles [aut],
Scott Bratman [aut],
Benjamin Haibe-Kains [aut, cre]