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: 0.9.2
Depends: R (≥ 3.5.0)
Imports: fda, pracma, MASS, deSolve, base, stats
Suggests: knitr, rmarkdown, Hmisc, testthat (≥ 2.1.0)
Published: 2019-08-03
Author: Haixu Wang [aut, cre], Jiguo Cao [aut]
Maintainer: Haixu Wang <haixuw at sfu.ca>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: pCODE results

Downloads:

Reference manual: pCODE.pdf
Vignettes: Introduction to pCODE
Package source: pCODE_0.9.2.tar.gz
Windows binaries: r-devel: pCODE_0.9.2.zip, r-release: pCODE_0.9.2.zip, r-oldrel: pCODE_0.9.2.zip
OS X binaries: r-release: pCODE_0.9.2.tgz, r-oldrel: pCODE_0.9.2.tgz
Old sources: pCODE archive

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