Package: demodelr
Type: Package
Title: Simulating Differential Equations with Data
Version: 2.0.1
Depends: R (>= 4.1.0)
Authors@R: 
    person("John", "Zobitz", , "zobitz@augsburg.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-1830-143X"))
Description: Designed to support the visualization, numerical
        computation, qualitative analysis, model-data fusion, and
        stochastic simulation for autonomous systems of differential
        equations. Euler and Runge-Kutta methods are implemented, along
        with tools to visualize the two-dimensional phaseplane.
        Likelihood surfaces and a simple Markov Chain Monte Carlo
        parameter estimator can be used for model-data fusion of
        differential equations and empirical models. The Euler-Maruyama
        method is provided for simulation of stochastic differential
        equations. The package was originally written for internal use
        to support teaching by Zobitz, and refined to support the text
        "Exploring modeling with data and differential equations using
        R" by John Zobitz (2021)
        <https://jmzobitz.github.io/ModelingWithR/index.html>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, purrr, tidyr, dplyr, formula.tools, GGally, rlang,
        utils, tibble, tidyselect
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown
URL: https://github.com/jmzobitz/demodelr
BugReports: https://github.com/jmzobitz/demodelr/issues
Config/pak/sysreqs: libicu-dev libssl-dev
Repository: https://jmzobitz.r-universe.dev
Date/Publication: 2026-01-16 02:50:29 UTC
RemoteUrl: https://github.com/jmzobitz/demodelr
RemoteRef: HEAD
RemoteSha: b726f89f45cfdfd21a9806fc457d3e6129da5d70
NeedsCompilation: no
Packaged: 2026-06-15 11:27:03 UTC; root
Author: John Zobitz [aut, cre] (ORCID: <https://orcid.org/0000-0002-1830-143X>)
Maintainer: John Zobitz <zobitz@augsburg.edu>