c(person(given = "Kiernan",
family = "Nicholls",
role = c("aut", "cre", "cph"),
email = "kiernann@protonmail.com"),
person(given = "Investigative Reporting Workshop",
role = "cph"),
person(given = "Yanqi",
family = "Xu",
role = c("aut"),
email = "yanqixu@outlook.com"),
person(given = "Schuyler",
family = "Erle",
role = "cph",
email = "schuyler@geocoder.us"))
Kiernan Nicholls [aut, cre, cph],
Investigative Reporting Workshop [cph],
Yanqi Xu [aut],
Schuyler Erle [cph]

Generic PK/PD Simulation Platform CAMPSIS
person(given = "Nicolas",
family = "Luyckx",
role = c("aut", "cre"),
email = "nicolas.luyckx@calvagone.com")
A generic, easy-to-use and intuitive PK/PD simulation
platform based on R packages 'RxODE' and 'mrgsolve'. CAMPSIS provides
an abstraction layer over the underlying processes of writing a PK/PD
model, assembling a custom dataset and running a simulation. CAMPSIS
has a strong dependency to the R package 'campsismod', which allows to
read/write a model from/to files and adapt it further on the fly in
the R environment. Package 'campsis' allows the user to assemble a
dataset in an intuitive manner. Once the user’s dataset is ready, the
package is in charge of preparing the simulation, calling 'RxODE' or
'mrgsolve' and returning the results, for the given model, dataset and
desired simulation settings.
assertthat, dplyr, ggplot2, MASS, methods, plyr, purrr, rlang,
stats, tibble, tidyr
bookdown, devtools, gridExtra, knitr, mrgsolve, pkgdown,
rmarkdown, roxygen2, RxODE, stringr, testthat
'global.R' 'utilities.R' 'check.R' 'generic.R' 'seed.R'
'distribution.R' 'dataset_config.R' 'time_entry.R' 'occasion.R'
'occasions.R' 'treatment_iov.R' 'treatment_iovs.R'
'dose_adaptation.R' 'dose_adaptations.R' 'treatment_entry.R'
'treatment.R' 'observations.R' 'observations_set.R'
'covariate.R' 'covariates.R' 'bootstrap.R' 'protocol.R' 'arm.R'
'arms.R' 'event.R' 'events.R' 'scenario.R' 'scenarios.R'
'simulation_engine.R' 'dataset.R' 'parameter_uncertainty.R'
'event_logic.R' 'dataset_summary.R' 'simulate_preprocess.R'
'simulate.R' 'results_processing.R' 'default_plot.R'