Author: Robert B. Gramacy <rbgramacy@chicagobooth.edu> and Matt A. Taddy <taddy@chicagobooth.edu> and Christoforos Anagnostopoulos <christoforos.anagnostopoulos06@imperial.ac.uk>
Maintainer: Robert B. Gramacy  <rbgramacy@chicagobooth.edu>

Title: A Unified Mechanistic Model for the Population Dynamics of
Authors@R: c(person("Matteo", "Marcantonio", role = c("aut", "cre"), email = "marcantoniomatteo@gmail.com"),person("Daniele", "Da Re", role = c("aut"), email = "daniele.dare@uclouvain.be"))
Imports: drc, fields, foreach, insol, slam, doParallel, sp
Description: Generalised model for population dynamics of invasive Aedes mosquitoes. Rationale and model structure are described here: <doi:10.1016/j.ecoinf.2020.101180> and <doi:10.1101/2021.12.21.473628> .
Suggests: parallel, rmarkdown, knitr, eesim, geosphere, ggplot2, gstat,

Authors@R: c(person("Matteo", "Marcantonio", role = c("aut", "cre"), email = "marcantoniomatteo@gmail.com"),person("Daniele", "Da Re", role = c("aut"), email = "dare.daniele@gmail.com"))

Title: Dynamic Simulation and Testing for Single-Equation ARDL Models
Authors@R: c(person("Soren", "Jordan", email = "sorenjordanpols@gmail.com", role = c("aut", "cre","cph")), person("Andrew Q.", "Philips", email = "andrew.philips@colorado.edu", role = c("aut")))
Description: While autoregressive distributed lag (ARDL) models allow for extremely flexible dynamics, interpreting substantive significance of complex lag structures remains difficult. This package is designed to assist users in dynamically simulating and plotting the results of various ARDL models. It also contains post-estimation diagnostics, including a test for cointegration when estimating the error-correction variant of the autoregressive distributed lag model (Pesaran, Shin, and Smith 2001 <doi:10.1002/jae.616>).
Suggests: urca, knitr, rmarkdown, testthat

Description: While autoregressive distributed lag models allow for extremely flexible dynamics, interpreting substantive significance of complex lag structures remains difficult. This package is designed to assist users in dynamically simulating and plotting the results of various autoregressive distributed lag models. It also contains post-estimation diagnostics, including a test for cointegration when estimating the error-correction variant of the autoregressive distributed lag model (Pesaran, Shin, and Smith 2001 <doi:10.1002/jae.616>).