{
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  "Package": "timedeppar",
  "Type": "Package",
  "Title": "Infer Constant and Stochastic, Time-Dependent Model Parameters",
  "Version": "1.0.3",
  "Date": "2023-08-28",
  "Author": "Peter Reichert <peter.reichert@emeriti.eawag.ch>",
  "Maintainer": "Peter Reichert <peter.reichert@emeriti.eawag.ch>",
  "Description": "Infer constant and stochastic, time-dependent parameters\nto consider intrinsic stochasticity of a dynamic model and/or\nto analyze model structure modifications that could reduce\nmodel deficits. The concept is based on inferring\ntime-dependent parameters as stochastic processes in the form\nof Ornstein-Uhlenbeck processes jointly with inferring constant\nmodel parameters and parameters of the Ornstein-Uhlenbeck\nprocesses. The package also contains functions to sample from\nand calculate densities of Ornstein-Uhlenbeck processes.\nReferences: Tomassini, L., Reichert, P., Kuensch, H.-R. Buser,\nC., Knutti, R. and Borsuk, M.E. (2009), A smoothing algorithm\nfor estimating stochastic, continuous-time model parameters and\nits application to a simple climate model, Journal of the Royal\nStatistical Society: Series C (Applied Statistics) 58, 679-704,\n<doi:10.1111/j.1467-9876.2009.00678.x> Reichert, P., and\nMieleitner, J. (2009), Analyzing input and structural\nuncertainty of nonlinear dynamic models with stochastic,\ntime-dependent parameters. Water Resources Research, 45,\nW10402, <doi:10.1029/2009WR007814> Reichert, P., Ammann, L. and\nFenicia, F. (2021), Potential and challenges of investigating\nintrinsic uncertainty of hydrological models with\ntime-dependent, stochastic parameters. Water Resources Research\n57(8), e2020WR028311, <doi:10.1029/2020WR028311> Reichert, P.\n(2022), timedeppar: An R package for inferring stochastic,\ntime-dependent model parameters, in preparation.",
  "License": "GPL-3",
  "URL": "https://gitlab.com/p.reichert/timedeppar",
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  "Date/Publication": "2023-08-28 12:47:58 UTC",
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      "title": "Calculate apparent acceptance frequency of time-dependent parameter",
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      "page": "calc.logpdf",
      "title": "Calculate log pdf values (prior, internal, posterior) from an object of type 'timedeppar'",
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      "page": "get.label",
      "title": "Construct a plot label from expressions for variables and units",
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      "page": "get.param",
      "title": "Extract parameter list and process parameter vectors from an object of type 'timedeppar'",
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      "title": "Get a sample of lists of constant and time-dependent parameters from inference results of 'infer.timedeppar'",
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      "title": "Jointly infer constant and time-dependent parameters of a dynamic model given time-series data",
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        "infer.timedeppar"
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      "title": "Calculate log pdf of an Ornstein-Uhlenbeck process",
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      "title": "Draw from an Ornstein-Uhlenbeck process",
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      "page": "randsplit",
      "title": "Draw indices for a random split of a vector into intervals of the same mean length",
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      "title": "Reads an object of type 'timedeppar' saved to a file by 'infer.timedeppar'",
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