knitr, rmarkdown, withr, magrittr, dplyr, testthat, webmockr,
jsonlite

c(
person("R Validation Hub", role = c("aut"), email = "psi.aims.r.validation@gmail.com"),
person("Doug", "Kelkhoff", role = c("aut"), email = "doug.kelkhoff@gmail.com"),
person("Marly", "Gotti", role = c("aut")),
person("Eli", "Miller", role = c("cre", "aut"), email = "eli.miller@atorusresearch.com"),
person("Kevin", "K", role = c("aut")),
person("Yilong", "Zhang", role = c("aut")),
person("Eric", "Milliman", role = c("aut")),
person("Juliane", "Manitz", role = c("aut")),
person("Mark", "Padgham", role = c("ctb")),
person("PSI special interest group Application and Implementation of Methodologies in Statistics", role = c("cph")))
backports, utils, tools, xml2, httr, curl, urltools, memoise,
BiocManager, cranlogs, covr, vctrs, pillar, tibble, pkgload,
devtools
R Validation Hub [aut],
Doug Kelkhoff [aut],
Marly Gotti [aut],
Eli Miller [cre, aut],
Kevin K [aut],
Yilong Zhang [aut],
Eric Milliman [aut],
Juliane Manitz [aut],
Mark Padgham [ctb],
PSI special interest group Application and Implementation of
Methodologies in Statistics [cph]

Riskset ROC curve estimation from censored survival data
Patrick J. Heagerty <heagerty@u.washington.edu>, packaging by
Paramita Saha <psaha@u.washignton.edu>
Compute time-dependent Incident/dynamic accuracy measures
(ROC curve, AUC, integrated AUC )from censored survival
data under proportional or non-proportional hazard
assumption  of  Heagerty & Zheng (Biometrics, Vol 61 No 1,
2005, PP 92-105).

Patrick J. Heagerty <heagerty@u.washington.edu>, Paramita
Saha <psaha@u.washignton.edu>
Compute time-dependent Incident/dynamic accuracy measures
(ROC curve, AUC, integrated AUC )from censored survival data
under proportional or non-proportional hazard assumption of
Heagerty & Zheng (Biometrics, Vol 61 No 1, 2005, PP 92-105).

Riskset ROC Curve Estimation from Censored Survival Data
Patrick J. Heagerty <heagerty@u.washington.edu>, packaging by
Paramita Saha-Chaudhuri <paramita.sahachaudhuri.work@gmail.com>