The package bdynsys for panel/longitudinal data combines methods to model
changes in up to four indicators over times as a function of the indicators
themselves and up to three predictors using ordinary differential equations
(ODEs) with polynomial terms that allow to model complex and nonlinear
effects. A Bayesian model selection approach is implemented. The package
provides also visualisation tools to plot phase portraits of the dynamic
system, showing the complex co-evolution of two indicators over time with the
possibility to highlight trajectories for specified entities (e.g. countries,
individuals). Furthermore the visualisation tools allow for making
predictions of the trajectories of specified entities with respect to the
indicators.
| Version: |
1.2 |
| Depends: |
R (≥ 2.10), stats, graphics, grDevices |
| Imports: |
plm, Formula, MASS, Hmisc, deSolve, pracma, caTools, matrixStats |
| Published: |
2014-01-16 |
| Author: |
Shyam Ranganathan, Viktoria Spaiser, Richard P. Mann, David J.T. Sumpter |
| Maintainer: |
Viktoria Spaiser <viktoria.spaiser at iffs.se> |
| License: |
GPL-2 | GPL-3 [expanded from: GNU General Public License (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
bdynsys results |