Tests of Independence Between Point Processes in Time


[Up] [Top]

Documentation for package ‘IndTestPP’ version 1.0

Help Pages

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