Package: deFit 0.2.1
Yueqin Hu
deFit: Fitting Differential Equations to Time Series Data
Use numerical optimization to fit ordinary differential equations (ODEs) to time series data to examine the dynamic relationships between variables or the characteristics of a dynamical system. It can now be used to estimate the parameters of ODEs up to second order, and can also apply to multilevel systems. See <https://github.com/yueqinhu/defit> for details.
Authors:
deFit_0.2.1.tar.gz
deFit_0.2.1.tar.gz(r-4.5-noble)deFit_0.2.1.tar.gz(r-4.4-noble)
deFit_0.2.1.tgz(r-4.4-emscripten)deFit_0.2.1.tgz(r-4.3-emscripten)
deFit.pdf |deFit.html✨
deFit/json (API)
| # Install 'deFit' in R: |
| install.packages('deFit', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yueqinhu/defit/issues
Last updated 1 years agofrom:1fdb64cb83. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 15 2024 |
| R-4.5-linux | OK | Sep 15 2024 |
Exports:defitscale_within
Dependencies:clicolorspacedeSolvefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Adjust the model function | AdjustModel_func |
| Choose the core code by the model. | CalcDe_func |
| Fitting Differential Equations to Time Series Data | defit |
| Univariate second-order differential equation | example1 |
| Bivariate first-order differential equation | example2 |
| University of Michigan consumer sentiment index | example3 |
| Judge the model belongs of N-variable and N-order differential equation. | JudgeModel_func |
| Plot all data | PlotDe_func |
| Title | scale_within |
| Core code of univariable second-order differential equation | Slover_UniSec_func |
| Core code of Binary first-order differential equational | Solver_BinFirst_func |
| Title | Solver_MultiBiFirst_func |
| Title | Solver_MultiUniSec_func |