The main objective of cooperative Transferable-Utility games (TU-games) 
  is to allocate a good among the agents involved. The package implements major 
  solution concepts including the Shapley value, Banzhaf value, and egalitarian
  rules, alongside their extensions for structured games: 
  the Owen value and Banzhaf-Owen value for games with a priori unions, and the
  Myerson value for communication games on networks. To address the inherent exponential 
  computational complexity of exact evaluation, the package offers both exact 
  algorithms and linear approximation methods based on sampling, enabling the 
  analysis of large-scale games. Additionally, it supports core set-based 
  solutions, allowing computation of the vertices and the centroid of the core.

The model, developed at the Vienna University of Technology, is a lumped conceptual rainfall-runoff model, following the structure of the HBV model. 
             The model can also be run in a semi-distributed fashion and with dual representation of soil layer.
             The model runs on a daily or shorter time step and consists of a snow routine, a soil moisture routine and a flow routing routine. 
             See Parajka, J., R. Merz, G. Bloeschl (2007) <DOI:10.1002/hyp.6253> Uncertainty and multiple objective calibration in regional water balance modelling: case study in 320 Austrian catchments, Hydrological Processes, 21, 435-446.

Create a time-varying dataset using features, exposure, and
    look back specifications.

Fit of a double additive cure survival model with time-varying covariates. The additive terms in the long- and short-term survival submodels, modelling the cure probability and the event timing for susceptible units, are estimated using Laplace P-splines. For more details, see Lambert and Kreyenfeld (2025) <doi:10.1093/jrsssa/qnaf035>.

Total variation denoising can be used to approximate a given
    sequence of noisy observations by a piecewise constant sequence, with 
    adaptively-chosen break points. An efficient linear-time algorithm for 
    total variation denoising is provided here, based on Johnson (2013)
    <doi:10.1080/10618600.2012.681238>.