approach is flexible (extensible) and relies on a robust and powerful test
statistic, the weighted AUC. See Kamulete, V. M. (2021) <arXiv:2107.02990>
for details. Outlier scores such as trust scores and prediction uncertainty
can be used as the basis for comparison for example.
Imports: data.table (>= 1.14.0), future.apply (>= 1.9.0), ggplot2 (>=

Title: Compute Directly Standardized Rates, Ratios and Differences
Description: A set of functions to compute and compare directly standardized rates, rate differences and ratios. A variety of user defined options for analysis (e.g confidence intervals) and formatting are included.
Imports: stats, dplyr (>= 0.7.4) , rlang, utils

Imports: stats, dplyr (>= 0.7.8) , rlang, utils, frailtypack

Title: Tests and Confidence Intervals on Directly Standardized Rates
Description: Perform a test of a simple null hypothesis about a
directly standardized rate and obtain the matching confidence
Packaged: 2017-04-24 02:42:35 UTC; catherine

Imports: stats, exactci, asht (>= 0.9.1), loglognorm,
Packaged: 2017-05-02 12:12:50 UTC; catherine

Description: Creates survey designs for distance sampling surveys. These
designs can be assessed for various effort and coverage statistics.
Once the user is satisfied with the design characteristics they can
generate a set of transects to use in their distance sampling survey.
Many of the designs implemented in this R package were first made
available in our 'Distance' for Windows software and are detailed in
Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008,
ISBN-13: 978-0199225873). Find out more about estimating animal/plant
abundance with distance sampling at <http://distancesampling.org/>.

Imports: sf, plot3D, rgdal, lwgeom, methods

Imports: sf, plot3D, rgdal, ggplot2, methods
Suggests: knitr, rmarkdown, tibble, covr, testthat
person("Laura", "Marshall", email = "lhm@st-andrews.ac.uk", role = c("aut", "cre")),
person("Rexstad", "Eric", email = "eric.rexstad@st-andrews.ac.uk", role = "ctb"))

Author: Claude Boivin, Stat.ASSQ <webapp.cb@gmail.com>
Description: This package allows you to make basic probability assignments on a set of
possibilities (events) and combine these events with Dempster's rule of combination.
Collate: 'bca.R' 'belplau.R' 'combmasses.R' 'dempster.R' 'dotprod.R'