nixmass v1.3.1 (release date: 2025-05-09) ========================================= Changes: * Included the `strict_mode` argument in the delta.snow models which does not perform strict date checking and allows for zero snow depth values at the beginnig of the time-series. nixmass v1.3.0 (release date: 2025-05-08) ========================================= Changes: * The HS2SWE model was added. nixmass v1.2.5 (release date: 2024-12-18) ========================================= Changes: * The plot function can now return a density plot on demand. * Fixed a bug where the number of layers at the end of the winter season determined the returned layer matrices. nixmass v1.2.4 (release date: 2024-12-14) ========================================= Changes: * Fixed a bug which led to computational issues, i.e. warnigs about wrong index lengths. * Added stop clause, when the input snow depth was probably not converted to meters. nixmass v1.2.3 (release date: 2024-12-04) ========================================= Changes: * The internal matrices of snow depth (h), swe and age are returned on demand. nixmass v1.1.3 (release date: 2024-10-23) ========================================= Changes: * The maximum bulk snow density increases smoothly with age following a trigonometric `atan` activation function. * The swe.delta.snow function is backwards compatible with the original delta.snow formulation. nixmass v1.0.3 (release date: 2024-06-11) ========================================= Changes: * Date columns in data objects can now be either of class `character`, `Date` or `POSIXct`. * Switched to Roxygen for package management. * Stability in terms of failure tests has been strongly improved. nixmass v1.0.2 (released ate: 2021-03-05) ========================================= Changes: * Large preallocated matrices for keeping track of the main variables have been replaced by small matrices. They comprise of only three timesteps, i.e. timestep - 1, timestep, and timestep + 1. This makes computation much faster, and there is no more restriction of the data series length. * The summary function has now a prettier output.