person("Chun Fung", "Kwok", email = "kwokcf@unimelb.edu.au", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0716-3879")),
person("Dan", "Zhu", email = "dan.zhu@monash.edu", role = "aut", comment = c(ORCID = "0000-0003-1487-2232")),
person("Liana", "Jacobi", email = "ljacobi@unimelb.edu.au", role = "aut", comment= c(ORCID = "0000-0001-7210-0500"))
Maintainer: Chun Fung Kwok <kwokcf@unimelb.edu.au>
Description: Implements the forward-mode automatic differentiation for
multivariate functions using the matrix-calculus notation from Magnus and
Neudecker (2019) <doi:10.1002/9781119541219>. Two key features of the package
are: (i) it incorporates various optimisation strategies to improve performance;
this includes applying memoisation to cut down object construction time, using
sparse matrix representation to speed up derivative calculation, and creating
specialised matrix operations to reduce computation time; (ii) it supports
differentiating random variates with respect to their parameters, targeting
Markov chain Monte Carlo (MCMC) and general simulation-based applications.
Suggests: testthat, covr, knitr, rmarkdown, pryr, MCMCpack
Imports: purrr, dplyr, magrittr, assertthat, mvtnorm, Rcpp
Author: Chun Fung Kwok [aut, cre] (<https://orcid.org/0000-0002-0716-3879>),

Title: Change Point Analysis in ARIMA Forecasting
person("Claster", "William B.", email = "william108@gmail.com", role = "aut"),
person("Nhat Cuong", "Pham", email = "acmetal74@gmail.com", role = c("aut", "cre")))
Maintainer: Nhat Cuong Pham <acmetal74@gmail.com>
Description: Package to incorporate change point analysis in ARIMA forecasting.

person("Philip", "Sallis", email = "philip.sallis@aut.ac.nz", role = "aut"),

Title: Statistical Modelling for Asymmetric Exponential Power
Description: Developed for Computing the probability density function,
cumulative distribution function, random generation, estimating the parameters
of asymmetric exponential power distribution, and robust regression analysis
with error term that follows asymmetric exponential power distribution.
Packaged: 2020-08-08 03:04:03 UTC; NikPardaz