Man pages for PLORN
Prediction with Less Overfitting and Robust to Noise
| p.clean | Clean data by eliminating predictors with many missing values |
| Pinus | Transcriptomes of Pinus roots under a Temperature Gradient |
| plorn | Construct and apply the PLORN model with your own data |
| p.opt | Estimate the optimal number of predictors to construct PLORN... |
| p.pca | Visualize predictors using principal coordinate analysis |
| p.rank | Visualize R-squared value distribution in... |
| p.sort | Sort and truncate predictors according to the strength of... |
