The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

CollocInfer: Collocation Inference for Dynamic Systems

These functions implement collocation-inference for continuous-time and discrete-time stochastic processes. They provide model-based smoothing, gradient-matching, generalized profiling and forwards prediction error methods.

Version: 1.0.4
Depends: R (≥ 2.4.0), fda
Imports: MASS, Matrix, spam, deSolve, methods
Suggests: pomp, SparseM, subplex, trust, maxLik
Published: 2016-11-07
Author: Giles Hooker, Luo Xiao, James Ramsay
Maintainer: Giles Hooker <gjh27 at cornell.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.bscb.cornell.edu/~hooker
NeedsCompilation: no
Citation: CollocInfer citation info
Materials: NEWS ChangeLog
In views: DifferentialEquations
CRAN checks: CollocInfer results

Documentation:

Reference manual: CollocInfer.pdf

Downloads:

Package source: CollocInfer_1.0.4.tar.gz
Windows binaries: r-devel: CollocInfer_1.0.4.zip, r-release: CollocInfer_1.0.4.zip, r-oldrel: CollocInfer_1.0.4.zip
macOS binaries: r-release (arm64): CollocInfer_1.0.4.tgz, r-oldrel (arm64): CollocInfer_1.0.4.tgz, r-release (x86_64): CollocInfer_1.0.4.tgz, r-oldrel (x86_64): CollocInfer_1.0.4.tgz
Old sources: CollocInfer archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CollocInfer to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.