Description: Contains win-ratio analysis routines for prioritized composite time-to-event
outcomes, e.g., death and non-fatal events. These routines include functions to fit
the proportional win-fractions (PW) model and to compute and plot the standardized
score process to assess the proportionality assumption.

Title: Win Ratio Analysis of Composite Time-to-Event Outcomes
Description: Implements various win ratio methodologies for composite endpoints of death and
non-fatal events, including the (stratified) proportional win-fractions (PW) regression models
(Mao and Wang, 2020 <doi:10.1111/biom.13382>), (stratified) two-sample tests with possibly
recurrent nonfatal event, and sample size calculation for standard win ratio test (Mao et al.,

person("Xi", "Liu", email = "xiliu@ucsb.edu", role = c("aut", "cre")),
person("Matthew", "Coleman", email = "matthewbcoleman@ucsb.edu", role = "aut"),
person("Alexander", "Petersen", email = "petersen@pstat.ucsb.edu", role = "aut"))
Description: An implementation of the methodologies described in Alexander Petersen, Xi Liu and Afshin A. Divani (2019) <arXiv:1910.13418>, including global F tests, partial F tests, intrinsic
Wasserstein-infinity bands and Wasserstein density bands.
gridExtra (>= 2.3), stats, Rcpp (>= 1.0.3), locfit (>=

Title: Wasserstein Regression and Inference
person("Chao", "Zhang", email = "czhang@pstat.ucsb.edu", role = "aut"),
Description: Implementation of the methodologies described in 1) Alexander Petersen, Xi Liu and Afshin A. Divani (2021) <doi:10.1214/20-aos1971>, including global F tests, partial F tests, intrinsic Wasserstein-infinity bands and Wasserstein density bands, and 2) Chao Zhang, Piotr Kokoszka and Alexander Petersen (2022) <doi:10.1111/jtsa.12590>, including estimation, prediction, and inference of the Wasserstein autoregressive models.

Title: Wilcox Robust Estimation and Testing.
Description: A user-friendly version of Wilcox' robust statistics functions (WRS package on GitHub). It implements robust tests for ANOVA and ANCOVA as described in R. Wilcox (2012) 'Introduction to Robust Estimation and Hypothesis Testing'.