Helps the R users to get data from 'Tushare Pro'<https://tushare.pro>.
    'Tushare Pro' is a platform as well as a community with a lot of staffs working in financial area.
    We support financial data such as stock price, financial report statements and digital coins data.

Helper functions for creating, editing, and testing tutorials
    created with the 'learnr' package. Provides a simple method for allowing
    students to download their answers to tutorial questions. For examples
    of its use, see the 'r4ds.tutorials' package.

Helps teachers convert existing '.Rmd' and '.qmd' teaching
    material into interactive tutorials for 'learnr' or 'quarto-live'.
    Conversion preserves narrative text, setup chunks, and major chunk
    options, supports teacher tags, and provides explicit validation and
    conversion reports. Output conventions follow 'learnr' as described
    by Aden-Buie et al. (2025) <doi:10.32614/CRAN.package.learnr>,
    'quarto-live' as described by Stagg (2024)
    <https://tidyverse.org/blog/2024/10/quarto-live-0-1-1/>,
    and R Markdown as described by Xie, Allaire and Grolemund
    (2018, ISBN:9781138359338).

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.