Description: Stores, manipulates, aggregates and otherwise messes with event
data from KEDS/TABARI or any other extraction tool with similar output

Title: Streaming Events and their Early Classification
Description: Implements event extraction and early classification of events in data streams in R.
It has the functionality to generate 2-dimensional data streams with events belonging to
2 classes. These events can be extracted and features computed. The event features extracted
from incomplete-events can be classified using a partial-observations-classifier
Imports: abind, tensorA, glmnet, AtmRay, dbscan, MASS, changepoint

(Kandanaarachchi et al. 2018) <doi:10.1371/journal.pone.0236331>.
Imports: abind, tensorA, glmnet, dbscan, MASS, changepoint, dplyr

Title: Event study and extreme event analysis
Author: Ajay Shah, Vimal Balasubramaniam, Vikram Bahure
Description: Implementation of short and long term event study

person("Chirag", "Anand", role = c("aut", "cre"),
person("Vikram", "Bahure", role = "aut",
person("Vimal", "Balasubramaniam", role = "aut",
person("Shekhar", "Harikumar", role = "ctb",
Description: A platform for conducting event studies (Fama, Fisher,
methodological research on event studies. The package
supports market model, augmented market model, and excess
returns methods for data modelling along with Wilcox,
classical t-test, and Bootstrap as inference procedures.
Imports: boot, graphics, methods, testthat, sandwich, stats, utils

Description: An R package for conducting event studies and a platform
for methodological research on event studies.

Title: Generalised Additive Extreme Value Models
Author: Ben Youngman <b.youngman@exeter.ac.uk> [aut, cre]
Description: Methods for fitting various extreme value distributions with parameters of generalised additive model (GAM) form are provided. For details of distributions see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GAMs see Wood, S.N. (2017) <doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.