multi-label data sets along with an interactive Shiny application to ease their
Imports: shiny (>= 0.11), XML, circlize, graphics, grDevices

Imports: shiny (>= 0.11), XML, circlize, graphics, grDevices, stats

Description: Exploratory data analysis and manipulation functions for multi-
label data sets along with an interactive Shiny application to ease their use.
Imports: shiny (>= 0.11), XML, circlize, graphics, grDevices, stats,

Authors@R: c( person("David", "Charte", email = "fdavidcl@ugr.es", role =
Suggests: pROC, knitr, mldr.datasets, testthat

person("David", "Charte", email = "fdavidcl@ugr.es", role = "cre", comment = c(ORCID = "0000-0002-4830-9512")),
person("Francisco", "Charte", email = "francisco@fcharte.com", role = "aut", comment = c(ORCID = "0000-0002-3083-8942")),
person("Antonio J.", "Rivera", email = "arivera@ujaen.es", role = "aut"))
Author: David Charte [cre] (<https://orcid.org/0000-0002-4830-9512>),

Title: R Ultimate Multilabel Dataset Repository
Description: Large collection of multilabel datasets along with the functions
needed to export them to several formats, to make partitions, and to obtain

Title: Expected/Observed Fisher Information and Bias-Corrected Maximum
Description: Calculates the expected/observed Fisher information and the bias-corrected maximum likelihood estimate(s) via Cox-Snell Methodology.

Description: A 'sparklyr' <https://spark.rstudio.com> extension that provides
an interface to 'MLeap' <https://github.com/combust/mleap>, an open source library
that enables exporting and serving of 'Apache Spark' pipelines.
SystemRequirements: Apache Spark 2.0+, Apache Maven 3.5+, Java JDK 8,
Imports: sparklyr, jsonlite, purrr, fs, tibble, rJava, digest
Packaged: 2018-04-24 21:12:57 UTC; kevinykuo

SystemRequirements: Apache Spark 2.0-2.2, Apache Maven 3.5+, Java JDK
Packaged: 2018-05-10 22:11:16 UTC; kevinykuo

Suggests: testthat, covr, ggplot2, dplyr
Packaged: 2018-05-23 15:37:24 UTC; kevinykuo

Packaged: 2018-10-31 23:49:56 UTC; kevinykuo

Packaged: 2020-01-10 20:05:02 UTC; kevinykuo