Population Life Course Exposure to Health Effects Modeling
c(person("Salil", "Pendse", email = "spendse@scitovation.com", role = c("aut", "cre")),
person("ScitoVation, LLC",role ="cph")
)
Functions, data and user interfaces for performing Physiologically Based Pharmacokinetic('PBPK') Modeling, In-vitro to In-vivo Extrapolation ('IVIVE') and exposure estimation. Also contains user interfaces to run models from the 'httk' package. Taken together these provide an easy to use and powerful modeling tool that can be used for all steps along the source-to-outcome continuum.All the analysis tools in the package can only be run as shiny apps. Check vignettes and package help for more information. More information on PBPK modeling can be found in the book 'Physiologically Based Pharmacokinetic Modeling: Science and Applications' by Reddy et al <doi:10.1002/0471478768>.
shiny, ggplot2, shinyBS, shinyWidgets, miniUI, shinydashboard,
rstudioapi, shinythemes, data.table, rhandsontable, deSolve,
truncdist, reshape2, dplyr, readxl, gdata, devtools, RSQLite,
formatR, plotly, magrittr, sqldf, utils, stats, DT, shinyjs,
V8, httk
Salil Pendse [aut, cre],
ScitoVation, LLC [cph]

c(person("Salil", "Pendse", email = "spendse@scitovation.com", role = c("aut", "cre")),
person("Kevin","Bronson",email = "kbronson@scitovation.com",role = "aut"),
person("Jeremy","Fitzpatrick",email = "jfitzpatrick@scitovation.com",role = "aut"),
person("Patrick","McMullen",email = "pmcmullen@scitovation.com",role="ctb"),
person("ScitoVation, LLC",role ="cph")
)
Functions, data and user interfaces for performing Physiologically
Based Pharmacokinetic('PBPK') Modeling, In-vitro to In-vivo Extrapolation
('IVIVE') and exposure estimation. Also contains user interfaces to run
models from the 'httk' package. Taken together these provide an easy to use
and powerful modeling tool that can be used for all steps along
the source-to-outcome continuum.All the analysis tools in the package are
run as interactive applications. Check vignettes and package help for more
information. Refer to the manuscript 'Population Life-course exposure to
health effects model (PLETHEM): An R package for PBPK modeling'
<doi: 10.1016/j.comtox.2019.100115> for more information on the models and
algorithms used in the package. More information on PBPK modeling itself
can be found in the book 'Physiologically Based Pharmacokinetic Modeling:
Science and Applications' by Reddy et al <doi:10.1002/0471478768>.
shiny, ggplot2, shinyBS, shinyWidgets, miniUI, shinydashboard,
rstudioapi, shinythemes, rhandsontable, deSolve, truncdist,
reshape2, dplyr, readxl, gdata, devtools, RSQLite, formatR,
plotly, magrittr, sqldf, utils, stats, DT, shinyjs, V8, httk,
NonCompart, stringr, doParallel, foreach, pracma, shinybusy,
data.table
Salil Pendse [aut, cre],
Kevin Bronson [aut],
Jeremy Fitzpatrick [aut],
Patrick McMullen [ctb],
ScitoVation, LLC [cph]