| *.multistep | Multidimensional step function evaluation |
| abs.multistep | Summary statistics for multistep objects |
| cv.liso | Liso Crossvalidation |
| dim.multistep | Summary statistics for multistep objects |
| liso | Automatically conducts Liso fits |
| liso.backfit | Function to fit penalized additive isotonic models |
| liso.covweights | Covariate Weights for Adaptive Liso |
| liso.maxlamb | Liso maximum lambda |
| max.multistep | Summary statistics for multistep objects |
| min.multistep | Summary statistics for multistep objects |
| multistep | Multidimensional step functions |
| plot.multistep | Plot a multidimensional step function |
| plotCV | Liso Crossvalidation |
| predict.multistep | Multidimensional step function evaluation |
| print.lisofit | Prints details for a liso fit |
| seq.log | Log grid seq |
| summary.multistep | Summary statistics for multistep objects |