Package: dynamac 0.1.11

Soren Jordan

dynamac: Dynamic Simulation and Testing for Single-Equation ARDL Models

While autoregressive distributed lag (ARDL) models allow for extremely flexible dynamics, interpreting substantive significance of complex lag structures remains difficult. This package is designed to assist users in dynamically simulating and plotting the results of various ARDL models. It also contains post-estimation diagnostics, including a test for cointegration when estimating the error-correction variant of the autoregressive distributed lag model (Pesaran, Shin, and Smith 2001 <doi:10.1002/jae.616>).

Authors:Soren Jordan [aut, cre, cph], Andrew Q. Philips [aut]

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dynamac.pdf |dynamac.html
dynamac/json (API)

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

Bug tracker:https://github.com/andyphilips/dynamac/issues

Datasets:
  • france.data - Data on French Energy Consumption and GDP
  • ineq - Data on public concern about economic inequality
  • supreme.sup - Data on US Supreme Court Approval

On CRAN:

Conda:

ardlstatatime-seriestime-series-analysis

5.59 score 7 stars 1 packages 37 scripts 593 downloads 1 mentions 10 exports 4 dependencies

Last updated 4 years agofrom:d7ed64dc55. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 18 2025
R-4.5-winNOTEMar 18 2025
R-4.5-macNOTEMar 18 2025
R-4.5-linuxNOTEMar 18 2025
R-4.4-winNOTEMar 18 2025
R-4.4-macNOTEMar 18 2025
R-4.4-linuxNOTEMar 18 2025
R-4.3-winNOTEMar 18 2025
R-4.3-macNOTEMar 18 2025

Exports:area.simulation.plotdshiftdynardldynardl.all.plotsdynardl.auto.correlateddynardl.simulation.plotldshiftlshiftpssboundsspike.simulation.plot

Dependencies:latticelmtestMASSzoo

An Introduction to dynamac: Dynamic Inferences (and Cointegration Testing) from Autoregressive Distributed Lag Models

Rendered fromdynamac-vignette.Rmdusingknitr::rmarkdownon Mar 18 2025.

Last update: 2020-04-02
Started: 2018-05-07