[HTML][HTML] Facilitating parameter estimation and sensitivity analysis of agent-based models: A cookbook using NetLogo and R

JC Thiele, W Kurth, V Grimm - Journal of Artificial Societies and Social …, 2014 - jasss.org
Agent-based models are increasingly used to address questions regarding real-world
phenomena and mechanisms; therefore, the calibration of model parameters to certain data …

[图书][B] Grundlagen der Datenanalyse mit R

D Wollschläger - 2010 - Springer
Dieses Buch liefert eine an human-und sozialwissenschaftlichen Anwendungen orientierte
Einführung in die Datenauswertung mit R. R ist eine freie Umgebung zur umfassenden …

Betting the farm: A review of Ball Python and other reptile trade from Togo, West Africa

N D'Cruze, LA Harrington, D Assou, J Green… - Nature …, 2020 - ora.ox.ac.uk
Our review of the CITES trade database confirmed that the ball python is the most exported
species by Togo; with 1,657,814 live individuals–comprising 60% of all live reptiles …

Multivariate and 2D extensions of singular spectrum analysis with the Rssa package

N Golyandina, A Korobeynikov, A Shlemov… - arXiv preprint arXiv …, 2013 - arxiv.org
Implementation of multivariate and 2D extensions of Singular Spectrum Analysis (SSA) by
means of the R-package Rssa is considered. The extensions include MSSA for …

RNetLogo: An R package for running and exploring individual‐based models implemented in NetLogo

JC Thiele, W Kurth, V Grimm - Methods in Ecology and …, 2012 - Wiley Online Library
NetLogo is a free software platform for implementing individual‐based and agent‐based
models. However, NetLogo's support of systematic design, performance and analysis of …

Robust penalized extreme learning machine regression with applications in wind speed forecasting

Y Yang, H Zhou, Y Gao, J Wu, YG Wang… - Neural Computing and …, 2022 - Springer
In extreme learning machine (ELM) framework, the hidden layer setting determines its
generalization ability; and in presence of outliers in the training set, weights between hidden …

[HTML][HTML] What's for dynr: A package for linear and nonlinear dynamic modeling in R

L Ou, MD Hunter, SM Chow - The R journal, 2019 - ncbi.nlm.nih.gov
Intensive longitudinal data in the behavioral sciences are often noisy, multivariate in nature,
and may involve multiple units undergoing regime switches by showing discontinuities …

Modeling and forecasting traffic flows with mobile phone big data in flooding risk areas to support a data-driven decision making

R Metulini, M Carpita - Annals of Operations Research, 2023 - Springer
Floods are one of the natural disasters which cause the worst human, social and economic
impacts to the detriment of both public and private sectors. Today, public decision-makers …

Object-oriented software for functional data

C Happ - arXiv preprint arXiv:1707.02129, 2017 - arxiv.org
This paper introduces the funData R package as an object-oriented implementation of
functional data. It implements a unified framework for dense univariate and multivariate …

Integration of flows and signals data from mobile phone network for statistical analyses of traffic in a flooding risk area

S Perazzini, R Metulini, M Carpita - Socio-Economic Planning Sciences, 2023 - Elsevier
In this paper, we present a robust spatiotemporal statistical methodology that is capable of
accurately forecasting traffic in the flood-prone area of the Mandolossa in the Province of …