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cran
qrnn:Quantile Regression Neural Network
Fit quantile regression neural network models with optional left censoring, partial monotonicity constraints, generalized additive model constraints, and the ability to fit multiple non-crossing quantile functions following Cannon (2011) <doi:10.1016/j.cageo.2010.07.005> and Cannon (2018) <doi:10.1007/s00477-018-1573-6>.
Maintained by Alex J. Cannon. Last updated 1 years ago.
8 stars 3.08 score 1 dependents
statapps
dnn:Deep Neural Network Tools for Probability and Statistic Models
Contains tools to build deep neural network with flexible users define loss function and probability models. Several applications included in this package are, 1) The (deepAFT) model, a deep neural network model for accelerated failure time (AFT) model for survival data. 2) The (deepGLM) model, a deep neural network model for generalized linear model (glm) for continuous, categorical and Poisson data.
Maintained by Bingshu E. Chen. Last updated 1 years ago.
1.00 score 4 scripts