Uses an approach based on k-nearest neighbor information to sequentially detect change-points. Offers analytic approximations for false discovery control given user-specified average run length.  Can be applied to any type of data (high-dimensional, non-Euclidean, etc.) as long as a reasonable similarity measure is available.  See references (1) Chen, H. (2019) Sequential change-point detection based on nearest neighbors. The Annals of Statistics, 47(3):1381-1407. (2) Chu, L. and Chen, H. (2018) Sequential change-point detection for high-dimensional and non-Euclidean data <arXiv:1810.05973>.

Three graph-based tests are provided for testing whether two samples are from the same distribution.

Four graph-based tests are provided for testing whether two samples are from the same distribution.  It works for both continuous data and discrete data.

c(person("Hoseung", "Song", role = c("aut", "cre"),
email = "hosong@ucdavis.edu"),
person("Hao", "Chen", role = "aut"))
New multi-sample tests for testing whether multiple samples are from the same distribution. They work well particularly for high-dimensional data.
Song, H. and Chen, H. (2022)
<arXiv:2205.13787>.

Generalized Weighted Quantile Sum Regression
Stefano Renzetti, Paul Curtin, Allan C Just, Chris Gennings
Fits Weighted Quantile Sum (WQS) regressions for continuous or binomial outcomes.

Stefano Renzetti, Paul Curtin, Allan C Just, Ghalib Bello, Chris Gennings

Fits Weighted Quantile Sum (WQS) regressions for continuous, binomial, multinomial and count outcomes.
Rsolnp, ggplot2, dplyr, stats, broom, rlist, MASS, reshape2,
plotROC, knitr, kableExtra, nnet, future, future.apply,
ggrepel, pscl

Rsolnp, ggplot2, dplyr, stats, broom, rlist, MASS, reshape2,
plotROC, knitr, kableExtra, nnet, future, future.apply, ggrepel
pscl, gridExtra, VGAM, AER, rmarkdown, devtools

ggplot2, dplyr, stats, broom, rlist, MASS, reshape2, plotROC,
knitr, kableExtra, nnet, future, future.apply, pscl, ggrepel,
cowplot

ggplot2, stats, broom, rlist, MASS, reshape2, plotROC, knitr,
kableExtra, nnet, future, future.apply, pscl, ggrepel, cowplot