Package: APtools
Type: Package
Title: Average Positive Predictive Values (AP) for Binary Outcomes and
Censored Event Times
Version: 6.8.8
Depends: graphics, stats, utils, survival, cmprsk
Author: Hengrui Cai <hengruicai@gmail.com>, Yan Yuan <yyuan@ualberta.ca>, Qian
Michelle Zhou <qz70@msstate.edu>, Bingying Li<dorisli1120@gmail.com>
Maintainer: Hengrui Cai <hengruicai@gmail.com>
Description: We provide tools to estimate two prediction accuracy metrics,
the average positive predictive values (AP) as well as the well-known AUC
(the area under the receiver operator characteristic curve) for risk scores.
The outcome of interest is either binary or censored event time.
Note that for censored event time, our functions' estimates, the AP and the
AUC, are time-dependent for pre-specified time interval(s). A function that
compares the APs of two risk scores/markers is also included. Optional
outputs include positive predictive values and true positive fractions at
the specified marker cut-off values, and a plot of the time-dependent AP
versus time (available for event time data).
License: LGPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-09-21 04:13:20 UTC; apple
Repository: CRAN
Date/Publication: 2018-09-21 04:40:09 UTC

Description: Developed for use by those tasked with the routine detection,
characterisation and quantification of discrete changes in air
quality time-series, such as identifying the impacts of air quality
policy interventions. The main functions use signal isolation then
break-point/segment (BP/S) methods based on 'strucchange' and
'segmented' methods detect and quantify change events (Ropkins &
Authors@R: c(person(given = "Karl", family = "Ropkins", role = c("aut",
"cre"), email = "k.ropkins@its.leeds.ac.uk", comment = c(ORCID =
role = c("ctb"), email = "anthony.walker@defra.gov.uk", comment =
Imports: openair, dplyr, loa, ggplot2, strucchange, segmented, mgcv,
Packaged: 2022-04-13 10:31:37 UTC; trakradmin
Author: Karl Ropkins [aut, cre] (<https://orcid.org/0000-0002-0294-6997>),