pCODE: Estimation of an Ordinary Differential Equation Model by
Parameter Cascade Method
An implementation of the parameter cascade method Ramsay, J. O., Hooker,G., Campbell, D., and Cao, J. (2007) <doi:10.1111/j.1467-9868.2007.00610.x> for estimating ordinary differential equation models with missing or complete observations. It combines smoothing method and profile estimation to estimate any non-linear dynamic system. The package also offers variance estimates for parameters of interest based on either bootstrap or Delta method.
| Version: |
0.9.3 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
fda, pracma, MASS, deSolve, base, stats |
| Suggests: |
knitr, rmarkdown, Hmisc, testthat (≥ 2.1.0) |
| Published: |
2019-11-23 |
| Author: |
Haixu Wang [aut, cre],
Jiguo Cao [aut] |
| Maintainer: |
Haixu Wang <haixuw at sfu.ca> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
pCODE results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=pCODE
to link to this page.