Package: LSDirf 0.1.4

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:10.1016/j.jebo.2024.106811>), 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/>).

Authors:Marcelo C. Pereira [aut, cre], Marco Amendola [aut]

LSDirf_0.1.4.tar.gz
LSDirf_0.1.4.zip(r-4.7)LSDirf_0.1.4.zip(r-4.6)LSDirf_0.1.4.zip(r-4.5)
LSDirf_0.1.4.tgz(r-4.6-any)LSDirf_0.1.4.tgz(r-4.5-any)
LSDirf_0.1.4.tar.gz(r-4.7-any)LSDirf_0.1.4.tar.gz(r-4.6-any)
LSDirf_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
LSDirf/json (API)

# Install 'LSDirf' in R:
install.packages('LSDirf', repos = c('https://santannaks.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 stars 464 downloads 4 exports 18 dependencies

Last updated from:f6b3a39115. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK148
source / vignettesOK202
linux-release-x86_64OK142
macos-release-arm64OK82
macos-oldrel-arm64OK78
windows-develOK87
windows-releaseOK90
windows-oldrelOK86
wasm-releaseOK135

Exports:irf.lsdstate.ident.lsdstate.irf.lsdstate.sa.lsd

Dependencies:abindbitopsbootcaToolsdigestFormulagplotsgtoolsinumKernSmoothlatticelibcoinMatrixmvtnormpartykitrandomForestrpartsurvival