IndTestPP-package |
Tests of Independence Between Point Processes in Time |
BarTxTn |
Barcelona temperature data |
buscar |
Generate the occurrence points of a Poisson process in continuous time |
calcdist.fun |
Calculates the set of close points and the mean distance for each point in the first process of a set or two or three processes |
calcNmu |
Conditional Test of independence between two Poisson process |
ComplPos.fun |
Changes the format of a vector of the occurrence times in a point process |
CondTest.fun |
Conditional Test of independence between two Poisson process |
CPSPpoints.fun |
Calculates the occurrence times of the three indicator processes of a bivariate Common Poisson shock process |
CPSPPOTevents.fun |
Calculates the occurrence times of the three indicator processes of the bivariate Common Poisson shock process resulting from applying a POT approach |
depchi.fun |
Estimates extremal dependence measures between two variables |
DepMarkedNHPP.fun |
Generates trajectories of dependent point processes using a marked Poison Process |
DepNHCPSP.fun |
Generates a trajectory of two dependent Poisson processes from a Common Poisson shock process |
DepNHNeyScot.fun |
Generates trajectories of dependent Neyman-Scott cluster processes |
DepNHPPqueue.fun |
Generates trajectories of dependent Poisson processes based on queue simulation |
DistObs.fun |
Calculates the set of close points and the mean distance for each point in the first process of a set or two or three processes |
DistShift.fun |
Shifts, conditionally on the first process, the remaining processes in a set of up to three processes and calculates the set of close points and the mean distance for each point in the first process |
DistSim.fun |
Generates a set of up to three independent processes and calculates the set of close points and the mean distance for each point in the first process |
DistSimfix.fun |
Generates a set of up to three independent processes and calculates the set of close points and the mean distance for each point in the first process |
DutilleulPlot.fun |
Performs a Diggle's randomization testing procedure to check independence between two point processes |
fn2 |
Calculate a bootstrap test to check the independence between up to three nonhomogeneous Poisson or point processes in time |
fn2B |
Calculate a Lotwick-Silverman test to check the independence between up to three homogeneous point processes in time |
fn2fix |
Calculate a bootstrap test to check the independence between up to three nonhomogeneous Poisson or point processes in time |
fn3 |
Performs a Diggle's randomization testing procedure to check independence between two point processes |
genbiPos.fun |
Calculates the set of close points of each point in a process |
GenSons.fun |
Generates trajectories of dependent Neyman-Scott cluster processes |
gentriPos.fun |
Calculates the set of close points of each point in a process |
HDFaux |
It estimates the cross D-function for two sets of point processes |
IndNHNeyScot.fun |
Generates trajectories of independent Neyman-Scott cluster processes |
IndNHPP.fun |
Generates trajectories of independent Poisson processes |
IndTestPP |
Tests of Independence Between Point Processes in Time |
Jenv |
It estimates the cross J-function for two sets of point processes |
Kenv |
It estimates the cross K-function for two sets of point processes |
miKS.fun |
Calculate a bootstrap test to check the independence between up to three nonhomogeneous Poisson or point processes in time |
mirank.fun |
Calculate a bootstrap test to check the independence between up to three nonhomogeneous Poisson or point processes in time |
nearestD |
It estimates the cross D-function for two sets of point processes |
nearestdist.fun |
Calculates the distance to the nearest point in the second process for each point in the first process |
NHD.fun |
It estimates the cross D-function for two sets of point processes |
NHDaux |
It estimates the cross D-function for two sets of point processes |
NHDFaux |
It estimates the cross J-function for two sets of point processes |
NHF.fun |
It estimates the cross F-function for two sets of point processes |
NHFaux |
It estimates the cross F-function for two sets of point processes |
NHJ.fun |
It estimates the cross J-function for two sets of point processes |
NHJaux |
It estimates the cross J-function for two sets of point processes |
NHK.fun |
It estimates the cross K-function for two sets of point processes |
NHKaux |
It estimates the cross K-function for two sets of point processes |
NHKaux2 |
It estimates the cross K-function for two sets of point processes |
NHKaux3 |
It estimates the cross K-function for two sets of point processes |
nMenr |
It estimates the cross D-function for two sets of point processes |
pdist.fun |
Calculates the distance to the nearest point in the second process for each point in the first process |
prodN2 |
It estimates the cross D-function for two sets of point processes |
simHPc.fun |
Generate a given number of occurrence points in a homogenous Poisson process in continuous time |
simNHPc.fun |
Generate the occurrence points of a Poisson process in continuous time |
SpecGap.fun |
It calculates the stationary distribution of a matrix and its spectral gap |
TestIndLS.fun |
Calculate a Lotwick-Silverman test to check the independence between up to three homogeneous point processes in time |
TestIndNH.fun |
Calculate a bootstrap test to check the independence between up to three nonhomogeneous Poisson or point processes in time |
uniongentri.fun |
Calculates the set of close points of each point in a process |