pvar-package | p-variation calculation and it's application |
%.% | Concatenate strings |
BBT | Brownian Bridge transformation |
BreakPoints | Structural break test |
ChangePointsId | Change Points of a 'numeric' vector. |
getMean | Quantiles and probabilities of p-variation |
getSd | Quantiles and probabilities of p-variation |
MeanCoef | Data sets of Monte-Carlo simulations results |
MergePvar | Extra functions for 'pvar' objects. |
MovingSum | Moving sum |
NormalisePvar | Quantiles and probabilities of p-variation |
plot.pvar | p-variation calculation |
plot.PvarBreakTest | Structural break test |
print.summary.pvar | p-variation calculation |
print.summary.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 |
PvarSubset | Extra functions for 'pvar' objects. |
rbridge | Random process generators |
rwiener | Random process generators |
SdCoef | Data sets of Monte-Carlo simulations results |
SplitByExtremum | Split vector according extremum (minimum and maximum). |
Split_MinMax | Split vector according extremum (minimum and maximum). |
Split_MinMax_req | Split vector according extremum (minimum and maximum). |
summary.pvar | p-variation calculation |
summary.PvarBreakTest | Structural break test |
Sum_p | p-variation summation function. |