| 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 |