Tools to Generate Daily-Precipitation Time Series
The method 'generate()' is extended for spatial multi-site
stochastic generation of daily precipitation. It generates precipitation
occurrence in several sites using logit regression (Generalized Linear
Models) and D.S. Wilks' approach (Journal of Hydrology, 1998).

The method 'generate()' is extended for spatial multi-site
stochastic generation of daily precipitation. It generates precipitation
occurrence in several sites using logit regression (Generalized Linear
Models) and the approach by D.S. Wilks (1998) <doi:10.1016/S0022-1694(98)00186-3> .

R (>= 3.5.0), copula, RGENERATE, blockmatrix, Matrix, stringr

c( person("Lampros", "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre")), person("Ryosuke", "Fukatani", role = "cph", comment = "Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm"), person("Tong", "Zhang", role = "cph", comment = "Author of the 'Regularized Greedy Forest' and of the Multi-core implementation of Regularized Greedy Forest machine learning algorithm"), person("Rie", "Johnson", role = "cph", comment = "Author of the 'Regularized Greedy Forest' machine learning algorithm") )
Regularized Greedy Forest wrapper of the 'Regularized Greedy Forest' <https://github.com/fukatani/rgf_python> 'python' package, which also includes a Multi-core implementation (FastRGF) <https://github.com/baidu/fast_rgf>.
Python (>= 2.7), rgf_python, fast_rgf, scikit-learn
(>= 0.19.0), scipy ( >= 1.0.0), numpy ( >= 1.14.0). Detailed
installation instructions for each operating system can be
found in the README file.
Lampros Mouselimis [aut, cre],
Ryosuke Fukatani [cph] (Author of the python wrapper of the
'Regularized Greedy Forest' machine learning algorithm),
Tong Zhang [cph] (Author of the 'Regularized Greedy Forest' and of the
Multi-core implementation of Regularized Greedy Forest machine
learning algorithm),
Rie Johnson [cph] (Author of the 'Regularized Greedy Forest' machine
learning algorithm)