pCODE: Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method

An implementation of the parameter cascade method in Ramsay, J. O., Hooker,G., Campbell, D., and Cao, J. (2007) 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: 0.9.4
Depends: R (≥ 3.5.0)
Imports: fda, pracma, MASS, deSolve, stats
Suggests: knitr, rmarkdown, Hmisc, testthat (≥ 2.1.0)
Published: 2022-09-07
Author: Haixu Wang [aut, cre], Jiguo Cao [aut]
Maintainer: Haixu Wang <haixuw at sfu.ca>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/alex-haixuw/PCODE
NeedsCompilation: no
Materials: NEWS
CRAN checks: pCODE results


Reference manual: pCODE.pdf
Vignettes: Introduction to pCODE


Package source: pCODE_0.9.4.tar.gz
Windows binaries: r-devel: pCODE_0.9.4.zip, r-release: pCODE_0.9.4.zip, r-oldrel: pCODE_0.9.4.zip
macOS binaries: r-release (arm64): pCODE_0.9.4.tgz, r-oldrel (arm64): pCODE_0.9.4.tgz, r-release (x86_64): pCODE_0.9.4.tgz, r-oldrel (x86_64): pCODE_0.9.4.tgz
Old sources: pCODE archive


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