Title: A Toolbox for Linear Discriminant Analysis with Penalties
Description: Integrates several popular high-dimensional methods based on Linear Discriminant Analysis (LDA) and provides a comprehensive and user-friendly toolbox for linear, semi-parametric and tensor-variate classification as mentioned in Yuqing Pan, Qing Mai and Xin Zhang (2019) <arXiv:1904.03469>. Functions are included for covariate adjustment, model fitting, cross validation and prediction.
Imports: tensr, Matrix, MASS, glmnet, methods

Title: Lumped hydrological model developed at the Vienna University of
Description: The model is a lumped conceptual rainfall-runoff model,
following the structure of the HBV model.  The model runs on a
daily 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) Uncertainty and multiple objective
calibration in regional water balance modelling: case study in
320 Austrian catchments, Hydrological Processes, 21, 435-446.

Title: Lumped Hydrological Model for Education Purposes
Authors@R: c(person("Alberto", "Viglione", role=c("aut", "cre"), email="viglione@hydro.tuwien.ac.at"),
Description: 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 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) Uncertainty and multiple objective calibration in regional water balance modelling: case study in 320 Austrian catchments, Hydrological Processes, 21, 435-446.

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.

Title: Lumped/Semi-Distributed Hydrological Model for Education
The model can also be run in a semi-distributed fashion.