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.

timedeppar: Infer Constant and Stochastic, Time-Dependent Model Parameters

Infer constant and stochastic, time-dependent parameters to consider intrinsic stochasticity of a dynamic model and/or to analyze model structure modifications that could reduce model deficits. The concept is based on inferring time-dependent parameters as stochastic processes in the form of Ornstein-Uhlenbeck processes jointly with inferring constant model parameters and parameters of the Ornstein-Uhlenbeck processes. The package also contains functions to sample from and calculate densities of Ornstein-Uhlenbeck processes. References: Tomassini, L., Reichert, P., Kuensch, H.-R. Buser, C., Knutti, R. and Borsuk, M.E. (2009), A smoothing algorithm for estimating stochastic, continuous-time model parameters and its application to a simple climate model, Journal of the Royal Statistical Society: Series C (Applied Statistics) 58, 679-704, <doi:10.1111/j.1467-9876.2009.00678.x> Reichert, P., and Mieleitner, J. (2009), Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters. Water Resources Research, 45, W10402, <doi:10.1029/2009WR007814> Reichert, P., Ammann, L. and Fenicia, F. (2021), Potential and challenges of investigating intrinsic uncertainty of hydrological models with time-dependent, stochastic parameters. Water Resources Research 57(8), e2020WR028311, <doi:10.1029/2020WR028311> Reichert, P. (2022), timedeppar: An R package for inferring stochastic, time-dependent model parameters, in preparation.

Version: 1.0.3
Depends: mvtnorm
Published: 2023-08-28
Author: Peter Reichert
Maintainer: Peter Reichert <peter.reichert at emeriti.eawag.ch>
BugReports: https://gitlab.com/p.reichert/timedeppar/-/issues
License: GPL-3
URL: https://gitlab.com/p.reichert/timedeppar
NeedsCompilation: no
Materials: NEWS
CRAN checks: timedeppar results

Documentation:

Reference manual: timedeppar.pdf

Downloads:

Package source: timedeppar_1.0.3.tar.gz
Windows binaries: r-devel: timedeppar_1.0.3.zip, r-release: timedeppar_1.0.3.zip, r-oldrel: timedeppar_1.0.3.zip
macOS binaries: r-release (arm64): timedeppar_1.0.3.tgz, r-oldrel (arm64): timedeppar_1.0.3.tgz, r-release (x86_64): timedeppar_1.0.3.tgz, r-oldrel (x86_64): timedeppar_1.0.3.tgz
Old sources: timedeppar archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=timedeppar 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.