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
Old sources: timedeppar archive

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