Title: Simulation of Demic Diffusion with Environmental Constraints
Description: Simulates demic diffusion building on models previously developed
for the expansion of Neolithic and other food-producing economies during
(2021) <doi:10.1098/rsif.2021.0499>). Growth and emigration are modelled as
density-dependent processes using logistic growth and an asymptotic threshold
model. Environmental and terrain layers, which can change over time, affect
carrying capacity, growth and mobility. Multiple centres of origin with
their respective starting times can be specified.
Packaged: 2022-08-12 12:12:18 UTC; jgregoriods
Author: Jonas Gregorio de Souza [aut, cre]
Maintainer: Jonas Gregorio de Souza <jonas.gregorio@gmail.com>

Author: Xiaohua Douglas Zhang & Zhaozhi Zhang
Description: A package containing R functions for displaying data and
results from high-throughput screening experiments.

Description: Functions for modelling dispersion in GLM.
Packaged: Tue Feb 10 16:07:50 2009; luca

Description: Description: Functions for modelling dispersion in GLM.

Description: Functions for estimating Gaussian dispersion regression models (Aitkin, 1987 <doi:10.2307/2347792>), overdispersed binomial logit models (Williams, 1987 <doi:10.2307/2347977>), and overdispersed Poisson log-linear models (Breslow, 1984 <doi:10.2307/2347661>), using a quasi-likelihood approach.

Title: Create Disposable R Packages for Testing
Description: Create disposable R packages for testing.
You can create, install and load multiple R packages with a single
function call, and then unload, uninstall and destroy them with another
function call. This is handy when testing how some R code or an R package
Packaged: 2014-11-01 19:51:19 UTC; gaborcsardi

Packaged: 2015-07-13 02:00:05 UTC; gaborcsardi

Packaged: 2017-03-20 11:56:35 UTC; gaborcsardi

Title: Analysis of Disposition Effect on Financial Portfolios
person("Lorenzo", "Mazzucchelli", email = "lorenzo.mazzucchelli@unimi.it", role = "aut"),
person("Marco", "Zanotti", email = "zanottimarco17@gmail.com", role = c("aut", "cre")))
Description: Evaluate the presence of disposition effect and others irrational
investor's behaviors based solely on investor's transactions and financial
market data. Experimental data can also be used to perform the analysis.
Four different methodologies are implemented to account for the different
nature of human behaviors on financial markets.
Novel analyses such as portfolio driven and time series disposition effect
Imports: dplyr, purrr, lubridate, magrittr, progress, rlang,
Suggests: devtools, knitr, rmarkdown, roxygen2, testthat, covr, tidyr,
skimr, ggplot2, ggridges, gghalves, furrr, future, foreach,
Packaged: 2021-07-29 12:52:16 UTC; marco.zanotti