Man pages for WLogit
Variable Selection in High-Dimensional Logistic Regression Models using a Whitening Approach
| beta | True coefficients in the esample. |
| CalculPx | Calculate the class-conditional probabilities. |
| CalculWeight | Calculate the weight |
| Refit_glm | Refit the logistic regression with chosen variables |
| test | WLogit output |
| Thresholding | Thresholding on a vector |
| top | Thresholding to zero of the smallest values |
| top_thresh | Thresholding to a given threshold of the smallest values |
| WhiteningLogit | Variable selection in high-dimensional logistic regression... |
| WLogit-package | Variable Selection in High-Dimensional Logistic Regression... |
| WorkingResp | Calculate the working response |
| X | Example of a design matrix of a logistic model |
| y | Example of a binary response variable of a logistic model. |
