| add.varianceestimate | Add (co)variance estimates to a PIM |
| classical.test | PIM implementations of distributionfree tests |
| crossvalidate.pim | Crossvalidate a glmnet PIM |
| demo.WilcoxonMannWhitney | Generate sample data that is appropriate for the classical... |
| DysData | This is the Dysphagia data |
| Engeldata | This is the engel data |
| estimator.nleqslv | Estimators for the PIM parameters |
| FEVData | This is the Childhood respiratory disease data |
| fullposet | Get a set of pseudo-observation observation indices |
| IPI | Probabilistic Index / Indicator for sets of variables |
| legacy.WilcoxonMannWhitney | Non-PIM implementations of distributionfree tests |
| Mainreplacetext | Pseudo-observation formula conversion helpers |
| MHData | This is the Mental health data |
| pim | Fit a PIM |
| pim.fit | Actually fit the pim |
| pimformula | Convert formula to pim formula |
| pimold-package | Probabilistic Index Models |
| pimsym | Check the symmetry condition for a PIM |
| plot.pim | Plot very basic G.O.F. for a pim |
| posandwich.estimator | Pseudo-observation variance sandwich estimator |
| print.pim | Display a PIM |
| simplifiedpimestimation.marginalcoefficients | Simplified fitting of PIMs with only one categorical... |
| SUData | This is the Surgical unit data |
| summary.pim | Plot very basic G.O.F. for a pim |
| varianceestimator.sandwich | Estimators for the PIM parameter variances |
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