Package: timedeppar Type: Package Title: Infer Constant and Stochastic, Time-Dependent Model Parameters Version: 1.0.3 Date: 2023-08-28 Author: Peter Reichert Maintainer: Peter Reichert Description: 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, 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, 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, Reichert, P. (2022), timedeppar: An R package for inferring stochastic, time-dependent model parameters, in preparation. License: GPL-3 Depends: mvtnorm URL: https://gitlab.com/p.reichert/timedeppar BugReports: https://gitlab.com/p.reichert/timedeppar/-/issues Encoding: UTF-8 RoxygenNote: 7.2.3 NeedsCompilation: no Packaged: 2026-09-18 07:21:16 UTC; root Repository: https://peterreichert.r-universe.dev Date/Publication: 2023-08-28 12:47:58 UTC RemoteUrl: https://github.com/cran/timedeppar RemoteRef: HEAD RemoteSha: ec600b2000adf72b69d470e618718c5e82d06dc0