Package: demodelr 1.1.0
demodelr: Simulating Differential Equations with Data
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>.
Authors:
demodelr_1.1.0.tar.gz
demodelr_1.1.0.zip(r-4.5)demodelr_1.1.0.zip(r-4.4)demodelr_1.1.0.zip(r-4.3)
demodelr_1.1.0.tgz(r-4.4-any)demodelr_1.1.0.tgz(r-4.3-any)
demodelr_1.1.0.tar.gz(r-4.5-noble)demodelr_1.1.0.tar.gz(r-4.4-noble)
demodelr_1.1.0.tgz(r-4.4-emscripten)demodelr_1.1.0.tgz(r-4.3-emscripten)
demodelr.pdf |demodelr.html✨
demodelr/json (API)
NEWS
| # Install 'demodelr' in R: |
| install.packages('demodelr', repos = c('https://jmzobitz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jmzobitz/demodelr/issues
- global_temperature - Measured average global temperature anomaly by year
- parks - Visitor and resource usage to a national park
- phosphorous - Measured phosphorous of Daphnia and algae
- precipitation - Measured precipitation from a rainfall event
- snowfall - Measured snowfall from a blizzard in April 2018
- wilson - Measured Weight of a dog over time
- yeast - Measured Sacchromyces data (yeast) from Gause 1932 "Experimental studies on the struggle for coexistence"
Last updated 9 months agofrom:73ca8b50ef. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | OK | Nov 19 2024 |
| R-4.5-linux | OK | Nov 19 2024 |
| R-4.4-win | OK | Nov 19 2024 |
| R-4.4-mac | OK | Nov 19 2024 |
| R-4.3-win | OK | Nov 19 2024 |
| R-4.3-mac | OK | Nov 19 2024 |
Exports:compute_likelihoodeigenvalueseulereuler_stochasticmcmc_analyzemcmc_estimatephaseplanerk4
Dependencies:clicolorspacecpp11crayondplyrfansifarverforcatsformula.toolsgenericsGGallyggplot2ggstatsgluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeoperator.toolspatchworkpillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
