by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07> and the second package vignette
"A Framework for Producing Small Area Estimates Based on Area-Level Models in R".

Author: Simon Urbanek <urbanek@research.att.com>, Yossi Rubner
Description: Package providing calculation of Earth Mover's Distance

Description: Package providing calculation of Earth Mover's Distance (EMD).

Title: Exponentially Modified Gaussian (EMG) Distribution
Description: Provides basic distribution functions for a mixture model
of a gaussian and exponential distribution.
Packaged: Mon Aug 30 08:18:45 2010; garbetsp

Description: Provides basic distribution functions for a mixture model of a gaussian and exponential distribution.

Description: Provides basic distribution functions for a mixture model of a Gaussian and exponential distribution.

Depends: R (>= 1.8.0), stats, stats4, moments

Title: Exponential Multivariate Hawkes Model
Authors@R: person("Kyungsub", "Lee", email = "kyungsub@gmail.com", role = c("aut", "cre"))
Description: Simulate and fitting exponential multivariate Hawkes model.
This package simulates a multivariate Hawkes model, introduced by Hawkes (1971) <doi:10.1093/biomet/58.1.83>, with an exponential kernel and fits the parameters from the data.
Models with the constant parameters, as well as complex dependent structures, can also be simulated and estimated.
The estimation is based on the maximum likelihood method, introduced by introduced by Ozaki (1979) <doi:10.1007/BF02480272>, with 'maxLik' package.
Collate: 'harrival.R' 'hspec.R' 'hmoment.R' 'hllf.R' 'hfit.R'

This package simulates a multivariate Hawkes model, introduced by Hawkes (1971) <doi:10.2307/2334319>, with an exponential kernel and fits the parameters from the data.
'utilities.R' 'hgfit.R' 'hreal.R' 'hsim.R' 'script.R'

Title: Evaluation of Modeling without Information Leakage
Description: A toolbox for designing and evaluating predictive models with
resampling methods. The aim of this package is to provide a simple and
efficient general framework for working with any type of prediction
problem, be it classification, regression or survival analysis, that is
easy to extend and adapt to your specific setting. Some commonly used
methods for classification, regression and survival analysis are included.
Suggests: caret, cmprsk, glmnet, Hmisc, MASS, party, pamr,
randomForest, RColorBrewer, survival, testthat (>= 0.8.1)
Packaged: 2014-07-31 11:17:57 UTC; christofer