CollocInfer-package: Collocation Inference in R
In CollocInfer: Collocation Inference for Dynamic Systems
CollocInfer-package R Documentation
Collocation Inference in R
Description
Functions carry out collocation inference method for nonlinear continuous-time
dynamic systems. These are based on basis-expansion representations for the
state of the system. Gradient-matching, profiling and EM algorithms are
supported.
Details
Package: CollocInfer
Type: Package
Version: 2.1.0
Date: 2009-08-19
License: GPL-2
LazyLoad: yes
Author(s)
Giles Hooker, Luo Xiao
Maintainer: Giles Hooker <giles.hooker@cornell.edu>
References
Ramsay, James O., Giles Hooker, Jiguo Cao and David Campbell (2007), "Parameter
Estimation in Ordinary Differential Equations: A Generalized Smoothing
Approach", Journal of the Royal Statistical Society, 69
Ramsay, James O., and Silverman, Bernard W. (2006), Functional
Data Analysis, 2nd ed., Springer, New York.
CollocInfer documentation built on April 4, 2025, 2:21 a.m.
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| CollocInfer-package | R Documentation |
Collocation Inference in R
Description
Functions carry out collocation inference method for nonlinear continuous-time dynamic systems. These are based on basis-expansion representations for the state of the system. Gradient-matching, profiling and EM algorithms are supported.
Details
| Package: | CollocInfer |
| Type: | Package |
| Version: | 2.1.0 |
| Date: | 2009-08-19 |
| License: | GPL-2 |
| LazyLoad: | yes |
Author(s)
Giles Hooker, Luo Xiao
Maintainer: Giles Hooker <giles.hooker@cornell.edu>
References
Ramsay, James O., Giles Hooker, Jiguo Cao and David Campbell (2007), "Parameter Estimation in Ordinary Differential Equations: A Generalized Smoothing Approach", Journal of the Royal Statistical Society, 69
Ramsay, James O., and Silverman, Bernard W. (2006), Functional Data Analysis, 2nd ed., Springer, New York.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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