Snow water equivalent is modeled with the process based
    models 'delta.snow' and 'HS2SWE' and empirical regression, which use
    relationships between density and diverse at-site parameters. The
    methods are described in Winkler et al. (2021)
    <doi:10.5194/hess-25-1165-2021>, Magnusson et al. (2025)
    <doi:10.1016/j.coldregions.2025.104435>, Guyennon et al. (2019)
    <doi:10.1016/j.coldregions.2019.102859>, Pistocchi (2016)
    <doi:10.1016/j.ejrh.2016.03.004>, Jonas et al. (2009)
    <doi:10.1016/j.jhydrol.2009.09.021> and Sturm et al. (2010)
    <doi:10.1175/2010JHM1202.1>.

A Software Development Kit for working with 'Nixtla''s 'TimeGPT', a foundation
    model for time series forecasting. 'API' is an acronym for 'application
    programming interface'; this package allows users to interact with
    'TimeGPT' via the 'API'. You can set and validate 'API' keys and generate forecasts
    via 'API' calls. It is compatible with 'tsibble' and base R. For more details 
    visit <https://docs.nixtla.io/>.

Optimization for nonlinear objective and constraint functions.  Linear or nonlinear equality and inequality constraints are allowed.  It accepts the input parameters as a constrained matrix.

Nested loop cross validation for classification purposes for misclassification error rate estimation.
  The package supports several methodologies for feature selection: random forest, Student t-test, limma, 
  and provides an interface to the following classification methods in the 'MLInterfaces' package: linear, 
  quadratic discriminant analyses, random forest, bagging, prediction analysis for microarray, generalized 
  linear model, support vector machine (svm and ksvm). Visualizations to assess the quality of
  the classifier are included: plot of the ranks of the features, scores plot for a specific 
  classification algorithm and number of features, misclassification rate 
  for the different number of features and classification algorithms tested and ROC plot.
  For further details about the methodology, please check:
  Markus Ruschhaupt, Wolfgang Huber, Annemarie Poustka, and Ulrich Mansmann (2004) 
  <doi:10.2202/1544-6115.1078>.