Logistic Regression

• Category: Single Model Post-processing Method
• Development language: R
• Operating platform / Operating system: windows
• Compilation tools and environment: R
• Version: version 1.0
• GitHub download path: https://github.com/Three-Poles/Reprocessing
• Citation:

  Messner, J. W., G. J. Mayr, and A. Zeileis, 2015: Heteroscedastic Censored and Truncated Regression with crch. R J., 8, 1-12. Messner, J. W., G. J. Mayr, D. S. Wilks, and A. Zeileis, 2014a: Extending Extended Logistic Regression: Extended vs. Separate vs. Ordered vs. Censored. Mon. Weather. Rev., 142, 3003-3013. Messner, J. W., G. J. Mayr, A. Zeileis, and D. S. Wilks, 2014b: Heteroscedastic Extended Logistic Regression for Postprocessing of Ensemble Guidance. Mon. Weather. Rev., 142, 448-456.

Method description:

Fit logistic regression model to post-process hydrometeorological forecasts.

Installation: N/A;

Execution: after compiling;

Input: weather forecasts;

QR code:

• 安装方式：无

  运行方式：编译后运行

  输入变量：降水等

  二维码：