The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

LSDirf: Impulse-Response Function Analysis for Agent-Based Models

Performing impulse-response function (IRF) analysis of relevant variables of agent-based simulation models, in particular for models described in 'LSD' format. Based on the data produced by the simulation model, it performs both linear and state-dependent IRF analysis, providing the tools required by the Counterfactual Monte Carlo (CMC) methodology (Amendola and Pereira (2024) <doi:10.2139/ssrn.4740360>), including state identification and sensitivity. CMC proposes retrieving the causal effect of shocks by exploiting the opportunity to directly observe the counterfactual in a fully controlled experimental setup. 'LSD' (Laboratory for Simulation Development) is free software available at <https://www.labsimdev.org/>).

Version: 0.1.3
Depends: R (≥ 4.0.0)
Imports: stats, utils, grDevices, graphics, boot, digest, gplots, abind, partykit, randomForest
Suggests: LSDinterface, LSDsensitivity
Published: 2024-04-04
DOI: 10.32614/CRAN.package.LSDirf
Author: Marcelo C. Pereira ORCID iD [aut, cre], Marco Amendola ORCID iD [aut]
Maintainer: Marcelo C. Pereira <mcper at unicamp.br>
License: GPL-3
NeedsCompilation: no
Language: en-US
CRAN checks: LSDirf results

Documentation:

Reference manual: LSDirf.pdf

Downloads:

Package source: LSDirf_0.1.3.tar.gz
Windows binaries: r-devel: LSDirf_0.1.3.zip, r-release: LSDirf_0.1.3.zip, r-oldrel: LSDirf_0.1.3.zip
macOS binaries: r-release (arm64): LSDirf_0.1.3.tgz, r-oldrel (arm64): LSDirf_0.1.3.tgz, r-release (x86_64): LSDirf_0.1.3.tgz, r-oldrel (x86_64): LSDirf_0.1.3.tgz

Reverse dependencies:

Reverse suggests: LSDinterface, LSDsensitivity

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LSDirf to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.