| vtreat-package | vtreat: a package for simple variable treatment |
| catScore | return a pseudo R-squared from a 1 variable logistic regression |
| designTreatmentsC | Build all treatments for a data frame to predict a categorical outcome. |
| designTreatmentsN | build all treatments for a data frame to predict a numeric outcome |
| designTreatmentsZ | Design variable treatments with no outcome variable. |
| format.vtreatment | Display treatment plan. |
| hold1OutMeans | of all but the i-th y. Useful for normalizing PRESS style statistics. |
| mkCrossFrameCExperiment | Run categorical cross-frame experiment.Experimental code, may or may not help depending on situation. |
| mkCrossFrameNExperiment | Run numeric cross frame experiment. Experimental code, may or may not help depending on situation. |
| prepare | Apply treatments and restrict to useful variables. |
| pressStatOfBestLinearFit | Compute the PRESS R-squared statistic of a 1-variable linear model |
| print.vtreatment | Print treatmentplan. |
| vnames | New treated variable names from a treatmentplan$treatment item. |
| vorig | Original variable name from a treatmentplan$treatment item. |
| vtreat | vtreat: a package for simple variable treatment |