c(person(given = "Hugo",
family = "Bodory",
role = c("aut", "cre"),
email = "hugo.bodory@unisg.ch",
comment = c(ORCID = "0000-0002-3645-1204")),
person(given = "Martin",
family = "Huber",
role = "aut",
email = "martin.huber@unifr.ch",
comment = c(ORCID = "0000-0002-8590-9402")))
mvtnorm, np, LARF, hdm, SuperLearner, glmnet, xgboost, e1071,
fastDummies

Clustering for Business Analytics - Miscellaneous functions.
Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances.
GNU GENERAL PUBLIC LICENSE Version 2 (execpt where otherwise noted)

Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.

Implements clustering techniques such as Proximus and
Rock, utility functions for efficient computation of cross
distances and data manipulation.

It calculates benefit cost ratio and net present value of a project in financial
terms. It is useful in analysing the financial returns of a project.

person("Sandip Kumar", "Gupta", email = "sandip_nitj@yahoo.co.in", role = c("aut", "cre"))
Contains function which subsets the input data frame based on the variable types and returns list of data frames.

A set of functions that helps you to generate descriptive statistics based on the variable types.

Contextual Bayesian Anomaly Detection in R
Detect contextual anomalies in time-series data with Bayesian data
analysis. It focuses on determining a normal range of target value, and
provides simple-to-use functions to abstract the outcome.
Boom, bsts, dplyr, magrittr, ggplot2, stats

c(
person("Kim", "Seonghyun", , "shyeon.kim@scipi.net", c("aut", "cre"))
)

Continuous Analog of a Binomial Distribution
Implementation of the d/p/q/r family of functions for a continuous analog to the standard discrete binomial with continuous size parameter and continuous support with x in [0, size + 1], following Ilienko (2013) <arXiv:1303.5990>.

Browse and Query Clinical and Genomic Data from cBioPortal
c(person(given = "Karissa",
family = "Whiting",
role = c("aut", "cre"),
email = "karissa.whiting@gmail.com",
comment = c(ORCID = "0000-0002-4683-1868")))
Provides R users with direct access to genomic and clinical data from the 'cBioPortal' web resource via user-friendly
functions that wrap 'cBioPortal's' existing API endpoints <https://www.cbioportal.org/api/swagger-ui/index.html>. Users can browse and query genomic data on mutations,
copy number alterations and fusions, as well as data on tumor mutational burden ('TMB'),
microsatellite instability status ('MSI'), 'FACETS' and select clinical data points (depending on the study).
See <https://www.cbioportal.org/> and Gao et al., (2013) <doi:10.1126/scisignal.2004088> for more information on the cBioPortal web resource.
Karissa Whiting [aut, cre] (<https://orcid.org/0000-0002-4683-1868>)