c(person("Yi", "Ya", role=c("aut","cre"),email="Yi.YA_yaya@hotmail.com"),
person("Nader", "Ebrahimi", role="aut", email="nebrahimi@niu.edu"),
person("Yoram", "Rubin", role="aut", email="rubin@ce.berkeley.edu"),
person("Jacob", "Zhang", role="aut", email="zjz999@gmail.com"))
Yi Ya [aut, cre],
Nader Ebrahimi [aut],
Yoram Rubin [aut],
Jacob Zhang [aut]

person("Matthias", "Kohl", role = c("aut", "cre"),
email = "Matthias.Kohl@stamats.de",
comment = c(ORCID = "0000-0001-9514-8910"))
Matthias Kohl [aut, cre] (<https://orcid.org/0000-0001-9514-8910>)
knitr, rmarkdown, foreach, parallel, doParallel
Performance measures and scores for statistical classification such as accuracy, sensitivity, specificity, recall, similarity coefficients, AUC, GINI index, Brier score and many more. Calculation of optimal cut-offs and decision stumps (Iba and Langley (1991), <doi:10.1016/B978-1-55860-247-2.50035-8>) for all implemented performance measures. Hosmer-Lemeshow goodness of fit tests (Lemeshow and Hosmer (1982), <doi:10.1093/oxfordjournals.aje.a113284>; Hosmer et al (1997), <doi:10.1002/(SICI)1097-0258(19970515)16:9%3C965::AID-SIM509%3E3.0.CO;2-O>). Statistical and epidemiological risk measures such as relative risk, odds ratio, number needed to treat (Porta (2014), <doi:10.1093%2Facref%2F9780199976720.001.0001>).

Contains several functions for descriptive statistics that are not available in standard R packages such as standardized IQR, Huber-type skipped mean, robust coefficient of variation (CV), robust signal to noise ratio (SNR), as well as functions that support graphical visualization such as boxplots based on quartiles (not hinges), negative logarithms and generalized logarithms for ggplots.

Computation of standardized interquartile range (IQR), Huber-type skipped mean (Hampel (1985), <doi:10.2307/1268758>), robust coefficient of variation (CV) (Arachchige et al. (2019), <arXiv:1907.01110>), robust signal to noise ratio (SNR), as well as functions that support graphical visualization such as boxplots based on quartiles (not hinges), negative logarithms and generalized logarithms for ggplot2 (Wickham (2016), ISBN:978-3-319-24277-4).