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LSDirf  

Impulse-Response Function Analysis for Agent-Based Models
View on CRAN: Click here


Download and install LSDirf package within the R console
Install from CRAN:
install.packages("LSDirf")

Install from Github:
library("remotes")
install_github("cran/LSDirf")

Install by package version:
library("remotes")
install_version("LSDirf", "0.1.3")



Attach the package and use:
library("LSDirf")
Maintained by
Marcelo C. Pereira
[Scholar Profile | Author Map]
First Published: 2024-04-04
Latest Update: 2024-04-04
Description:
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) ), 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 ).
How to cite:
Marcelo C. Pereira (2024). LSDirf: Impulse-Response Function Analysis for Agent-Based Models. R package version 0.1.3, https://cran.r-project.org/web/packages/LSDirf. Accessed 29 Apr. 2025.
Previous versions and publish date:
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Complete documentation for LSDirf
Functions, R codes and Examples using the LSDirf R package
Full LSDirf package functions and examples
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