Package index
-
Co.LPM() - Co‑Lower Partial Moment
-
Co.LPM_nD() - Co‑Lower Partial Moment nD
-
Co.UPM() - Co‑Upper Partial Moment
-
Co.UPM_nD() - Co‑Upper Partial Moment nD
-
D.LPM() - Divergent‑Lower Partial Moment
-
D.UPM() - Divergent‑Upper Partial Moment
-
DPM_nD() - Divergent Partial Moment nD
-
LPM() - Lower Partial Moment
-
LPM.VaR() - LPM VaR
-
LPM.ratio() - Lower Partial Moment Ratio
-
NNS.ANOVA() - NNS ANOVA: Nonparametric Analysis of Variance
-
NNS.ARMA() - NNS ARMA
-
NNS.ARMA.optim() - NNS ARMA Optimizer
-
NNS.CDF() - NNS CDF
-
NNS.FSD() - NNS FSD Test
-
NNS.FSD.uni() - NNS FSD Test uni-directional
-
NNS.MC() - NNS Monte Carlo Sampling
-
NNS.SD.cluster() - NNS SD-based Clustering
-
NNS.SD.efficient.set() - NNS SD Efficient Set
-
NNS.SSD() - NNS SSD Test
-
NNS.SSD.uni() - NNS SSD Test uni-directional
-
NNS.TSD() - NNS TSD Test
-
NNS.TSD.uni() - NNS TSD Test uni-directional
-
NNS.VAR() - NNS VAR
-
NNS.boost() - NNS Boost
-
NNS.caus() - NNS Causation
-
NNS.copula() - NNS Co-Partial Moments Higher Dimension Dependence
-
NNS.dep() - NNS Dependence
-
NNS.diff() - NNS Numerical Differentiation
-
NNS.distance() - NNS Distance
-
NNS.gravity() - NNS gravity
-
NNS.meboot() - NNS meboot
-
NNS.mode() - NNS mode
-
NNS.moments() - NNS moments
-
NNS.norm() - NNS Normalization
-
NNS.nowcast() - NNS Nowcast
-
NNS.part() - NNS Partition Map
-
NNS.reg() - NNS Regression
-
NNS.rescale() - NNS rescale
-
NNS.seas() - NNS Seasonality Test
-
NNS.stack() - NNS Stack
-
NNS.term.matrix() - NNS Term Matrix
-
NNS_bin() - Fast binning of numeric vector into equidistant bins
-
PM.matrix() - Partial Moment Matrix
-
UPM() - Upper Partial Moment
-
UPM.VaR() - UPM VaR
-
UPM.ratio() - Upper Partial Moment Ratio
-
dy.d_() - Partial Derivative dy/d_[wrt]
-
dy.dx() - Partial Derivative dy/dx