Robert B. Gramacy <rbgramacy@chicagobooth.edu> and Matt A. Taddy <taddy@chicagobooth.edu>
Inference by sequential Monte Carlo for
dynamic tree regression and classification models
with hooks provided for sequential design and optimization,
fully online learning with drift, variable selection, and
sensitivity analysis of inputs.  Illustrative
examples from the original dynamic trees paper are facilitated
by demos in the package; see demo(package="dynaTree")

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

A Unified Mechanistic Model for the Population Dynamics of
Invasive Aedes Mosquitoes
c(person("Matteo", "Marcantonio", role = c("aut", "cre"), email = "marcantoniomatteo@gmail.com"),person("Daniele", "Da Re", role = c("aut"), email = "daniele.dare@uclouvain.be"))
drc, fields, foreach, insol, slam, doParallel, sp
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> .
parallel, rmarkdown, knitr, eesim, geosphere, ggplot2, gstat,
rgeos, spatstat, tidyverse
Matteo Marcantonio [aut, cre],
Daniele Da Re [aut]

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

Dynamic Simulation and Testing for Single-Equation ARDL Models
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")))
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>).
Soren Jordan [aut, cre, cph],
Andrew Q. Philips [aut]