Imports: DBI, dplyr, dbplyr, RSQLite, crul, jsonlite, gistr, rappdirs
Suggests: testthat, knitr, rmarkdown, markdown, vcr

Title: Pleiotropy Test for Multiple Traits on a Genetic Marker
Description: Perform tests for pleiotropy of multiple traits on genotypes for a genetic marker.
Depends: R (>= 3.2.0), Matrix, stats, utils

Description: Perform tests for pleiotropy of multiple traits of various variable types on genotypes for a genetic marker.
Depends: R (>= 3.2.0), rms, Matrix, stats, utils

Description: It performs a fast multi-trait genome-wide association analysis based on seemingly unrelated regressions. It tests for pleiotropic effects based on a series of Intersection-Union Wald tests. The package can handle large and unbalanced data and plot results.
Author: Fernando Aguate [aut, cre] (<https://orcid.org/0000-0002-3608-8425>),
Gustavo de los Campos [aut] (<https://orcid.org/0000-0001-5692-7129>),

Title: Population Life Course Exposure to Health Effects Modeling
Authors@R: c(person("Salil", "Pendse", email = "spendse@scitovation.com", role = c("aut", "cre")),
Description: 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>.
Imports: 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,