BiocGenerics, GenomicFeatures, purrr, utils, glmnet,
randomForest, stats, survival, survminer, caret, data.table,
RColorBrewer, grDevices, pROC, graphics, maftools,
clusterProfiler

BiocGenerics, purrr, utils, glmnet, randomForest, stats,
survival, survminer, caret, data.table, RColorBrewer,
grDevices, pROC, graphics, maftools, clusterProfiler

c(person(given = "Laure", family = "Cougnaud", role = c("aut", "cre"), email = "laure.cougnaud@openanalytics.eu"), person(given = "Open Analytics", role = "cph"))
Creation of patient profile visualizations for
exploration, diagnostic or monitoring purposes during a clinical trial.
These static visualizations display a patient-specific overview
of the evolution during the trial time frame of
parameters of interest (as laboratory, ECG, vital signs),
presence of adverse events, exposure to a treatment;
associated with metadata patient information,
as demography, concomitant medication.
The visualizations can be tailored for specific domain(s) or endpoint(s) of interest.
Visualizations are exported into patient profile report(s)
or can be embedded in custom report(s).
clinUtils, ggplot2 (>= 3.0.0), plyr, cowplot, tools, reshape2,
knitr, grid, dplyr, stringr, parallel, gridExtra, scales
pander, shiny, testthat, grDevices, rmarkdown, gtable,
pdftools, viridisLite
Laure Cougnaud [aut, cre],
Open Analytics [cph]

c(
person(given = "Laure", family = "Cougnaud",
role = c("aut", "cre"), email = "laure.cougnaud@openanalytics.eu"),
person(given = "Margaux", family = "Faes",
role = "rev", comment = "tests"),
person(given = "Open Analytics", role = "cph")
)
clinUtils, ggplot2 (>= 3.0.0), plyr, cowplot, tools, reshape2,
knitr, grid, stringr, parallel, gridExtra, scales
Laure Cougnaud [aut, cre],
Margaux Faes [rev] (tests),
Open Analytics [cph]

clinUtils, ggplot2 (>= 3.0.0), plyr, cowplot, tools, reshape2,
knitr, grid, stringr, parallel, gridExtra, scales, utils

This is an extension of the 'testthat' package that lets you add
parameters to your unit tests. Parameterized unit tests are often easier to
read and more reliable, since they follow the DNRY (do not repeat yourself)
rule.