| pvar-package | p-variation calculation and application |
| %.% | Concatenate strings |
| AddPvar | Addition of p-variation |
| BridgeT | Bridge transformation |
| ChangePoints | Change Points of a 'numeric' vector |
| DataSets | Data sets of Monte-Carlo simulations results |
| getMean | Quantiles and probabilities of p-variation |
| getSd | Quantiles and probabilities of p-variation |
| IsEqualPvar | Test if two 'pvar' objects are equivalent. |
| MeanCoef | Data sets of Monte-Carlo simulations results |
| NormalisePvar | Quantiles and probabilities of p-variation |
| plot.pvar | p-variation calculation |
| plot.PvarBreakTest | Structural break test |
| pvar | p-variation calculation |
| PvarBreakTest | Structural break test |
| PvarPvalue | Quantiles and probabilities of p-variation |
| PvarQuantile | Quantiles and probabilities of p-variation |
| PvarQuantileDF | Data sets of Monte-Carlo simulations results |
| rbridge | Random process generators |
| rcumbin | Random process generators |
| rwiener | Random process generators |
| SdCoef | Data sets of Monte-Carlo simulations results |
| summary.pvar | p-variation calculation |
| summary.PvarBreakTest | Structural break test |
| Sum_p | p-variation summation function |