Package: godley
Type: Package
Title: Stock-Flow-Consistent Model Simulator
Version: 0.2.2
Authors@R: 
    c(
        person("Michał", "Gamrot", email = "gamrot@gmail.com", role = c("aut", "cph")),
        person("Iwo", "Augustyński", email = "iwo.a@int.pl", role = c("ctb")),
        person("Julian", "Kacprzak", role = c("ctb")),
        person("Elżbieta", "Jowik", email = "jowik.elzbieta@gmail.com", role = c("cre", "ctb"))
    )
Maintainer: Elżbieta Jowik <jowik.elzbieta@gmail.com>
Description: Define, simulate, and validate stock-flow consistent (SFC) macroeconomic models. The godley R package offers tools to dynamically define model structures by adding variables and specifying governing systems of equations. With it, users can analyze how different macroeconomic structures affect key variables, perform parameter sensitivity analyses, introduce policy shocks, and visualize resulting economic scenarios. The accounting structure of SFC models follows the approach outlined in the seminal study by Godley and Lavoie (2007, ISBN:978-1-137-08599-3), ensuring a comprehensive integration of all economic flows and stocks. The algorithms implemented to solve the models are based on methodologies from Kinsella and O'Shea (2010) <doi:10.2139/ssrn.1729205>, Peressini and Sullivan (1988, ISBN:0-387-96614-5), and contributions by Joao Macalos.
URL: https://gamrot.github.io/godley/
BugReports: https://github.com/gamrot/godley/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, stringr, tidyr, igraph, purrr, vctrs, rlang, rootSolve,
        plotly, magrittr, checkmate, vecsets, lubridate, data.table,
        tibble, visNetwork
Depends: R (>= 4.1.0)
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-02-22 08:21:18 UTC; ejowik001
Author: Michał Gamrot [aut, cph],
  Iwo Augustyński [ctb],
  Julian Kacprzak [ctb],
  Elżbieta Jowik [cre, ctb]
Repository: CRAN
Date/Publication: 2025-02-23 23:30:06 UTC
Built: R 4.6.0; ; 2026-05-28 04:24:04 UTC; windows
