Package: LSDirf 0.1.3

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/>).

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

LSDirf_0.1.3.tar.gz
LSDirf_0.1.3.zip(r-4.5)LSDirf_0.1.3.zip(r-4.4)LSDirf_0.1.3.zip(r-4.3)
LSDirf_0.1.3.tgz(r-4.4-any)LSDirf_0.1.3.tgz(r-4.3-any)
LSDirf_0.1.3.tar.gz(r-4.5-noble)LSDirf_0.1.3.tar.gz(r-4.4-noble)
LSDirf_0.1.3.tgz(r-4.4-emscripten)LSDirf_0.1.3.tgz(r-4.3-emscripten)
LSDirf.pdf |LSDirf.html
LSDirf/json (API)

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

Peer review:

On CRAN:

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

1.00 score 1 stars 113 downloads 4 exports 18 dependencies

Last updated 8 months agofrom:6240b5c39c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

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

Dependencies:abindbitopsbootcaToolsdigestFormulagplotsgtoolsinumKernSmoothlatticelibcoinMatrixmvtnormpartykitrandomForestrpartsurvival