Imports: mvtnorm, np, LARF, hdm, SuperLearner, glmnet, xgboost, e1071,
Author: Hugo Bodory [aut, cre] (<https://orcid.org/0000-0002-3645-1204>),

Title: Clustering for Business Analytics - Miscellaneous functions.
Description: Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances.
License: GNU GENERAL PUBLIC LICENSE Version 2 (execpt where otherwise noted)
Packaged: Wed Sep  7 12:09:33 2005; hahsler

Title: Clustering for Business Analytics
Description: Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.
Packaged: Thu Oct 27 09:23:45 2005; hahsler

Packaged: Mon Dec 12 14:57:02 2005; hahsler

Packaged: Wed Feb  8 11:13:18 2006; hornik

Packaged: Wed Mar  1 18:42:20 2006; buchta

Packaged: Thu Aug 31 18:50:30 2006; hornik

Packaged: Sat Sep  2 10:32:34 2006; hornik

Description: Implements clustering techniques such as Proximus and
Rock, utility functions for efficient computation of cross

Imports: stats, graphics, grDevices, methods

Packaged: Tue Jul 10 09:37:33 2007; hornik

Packaged: Tue Oct 23 20:23:00 2007; hornik

Packaged: Mon Aug 25 11:30:36 2008; hornik

Packaged: Thu Jan  8 12:20:25 2009; hornik

Description: 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.

Title: Coffee Break Descriptive Analysis
Authors@R: person("Sandip Kumar", "Gupta", email = "sandip_nitj@yahoo.co.in", role = c("aut", "cre"))
Maintainer: Sandip Kumar Gupta <sandip_nitj@yahoo.co.in>
Description: Contains function which subsets the input data frame based on the variable types and returns list of data frames.

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

Title: Contextual Bayesian Anomaly Detection in R
Description: 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.
Imports: Boom, bsts, dplyr, magrittr, ggplot2, stats