c(
person("Alaiñe", "Iturria", email = "aiturria@ikerlan.es", role = c("aut","cre")),
person("Jacinto", "Carrasco", email = "jacintocc@decsai.ugr.es", role = c("aut")),
person("Francisco", "Herrera", email = "herrera@decsai.ugr.es", role = c("aut")),
person("Santiago", "Charramendieta", email = "scharramendieta@ikerlan.es", role = c("aut")),
person("Karmele", "Intxausti", email = "kintxausti@ikerlan.es", role = c("aut")))
Implements a set of online fault detectors for time-series, called: PEWMA see M. Carter
et al. (2012) <doi:10.1109/SSP.2012.6319708>, SD-EWMA and TSSD-EWMA see H. Raza et al.
(2015) <doi:10.1016/j.patcog.2014.07.028>, KNN-CAD see E. Burnaev et al. (2016)
<arXiv:1608.04585>, KNN-LDCD see V. Ishimtsev et al. (2017) <arXiv:1706.03412> and
CAD-OSE see M. Smirnov (2018) <https://github.com/smirmik/CAD>. The first three
algorithms belong to prediction-based techniques and the last three belong to
window-based techniques. In addition, the SD-EWMA and PEWMA algorithms are algorithms
designed to work in stationary environments, while the other four
are algorithms designed to work in non-stationary environments.
Python (>= 3.0.1); bencode-python3 (1.0.2)
stats, ggplot2, plotly, sigmoid, reticulate
Alaiñe Iturria [aut, cre],
Jacinto Carrasco [aut],
Francisco Herrera [aut],
Santiago Charramendieta [aut],
Karmele Intxausti [aut]

An R Autograding Extension for Otter-Grader
c(
person(given = "Christopher",
family = "Pyles",
email = "cpyles@berkeley.edu",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-8520-7593")),
person(given = "UC Berkeley Data Science Education Program",
role = c("cph")))
An R autograding extension for Otter-Grader (<https://otter-grader.readthedocs.io>). It supports
grading R scripts, RMarkdown documents, and R Jupyter Notebooks.
Christopher Pyles [aut, cre] (<https://orcid.org/0000-0001-8520-7593>),
UC Berkeley Data Science Education Program [cph]

yaml, testthat, jsonlite, pryr, R6, zip, methods

An R autograding extension for Otter-Grader (<https://otter-grader.readthedocs.io>). It supports
grading R scripts, R Markdown documents, and R Jupyter Notebooks.