Tests of Independence and Analysis of Dependence Between Point Processes in Time

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Documentation for package ‘IndTestPP’ version 3.0

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IndTestPP-package Tests of Independence and Analysis of Dependence between Point Processes in Time
BinPer Percentage of concordant intervals
buscar Generating points in a Poisson process
calcdist Calculates the set of close points and the mean distance in a vector of processes, for each point in the first process
calcNmu Conditional test of independence between two Poisson process
ComplPos Changes format of the vector of occurrence times in a point process
CondTest Conditional test of independence between two Poisson process
CountingCor Correlation between the counting variables in two point processes
countP Correlation between the counting variables in two point processes
CPSPpoints Identifying the occurrence points of the indicator processes in a CPSP
CPSPPOTevents Identifying the occurrence points of the indicator processes in the CPSP from a POT approach
depchi Estimating extremal dependence coefficientes
DepCPSPKenv Estimating cross K-function and envelopes for marginal processes of a CPSP
DepCPSPNHK Estimating cross K-function and envelopes for marginal processes of a CPSP
DepNHCPSP Generating a Common Poisson Shock Process
DepNHNeyScot Generating a multivariate Neyman-Scott cluster process
DepNHPPMarked Generating dependent point processes from a marked Poison Process
DepNHPPqueue Generating dependent point processes by a tandem queueing network
DepNHPPqueue1 Generating dependent point processes by a tandem queueing network
DepNHPPqueueI Generating dependent point processes by a tandem queueing network
DepqueueKenv Estimating cross K-function and envelopes for the marginal processes of a queue
DepqueueNHK Estimating cross K-function and envelopes for the marginal processes of a queue
DistObs Calculates the set of close points and the mean distance in a vector of processes, for each point in the first process
DistShift Generates by translation a vector of independent processes, and calculates the set of close points and the mean distance for each point in the first process
DistSim Generates a vector of independent processes, and calculates the set of close points and the mean distance for each point in the first process
DistSimfix Generates a vector of independent processes, and calculates the set of close points and the mean distance for each point in the first process
DutilleulPlot A graphical test to assess independence between two point processes
firstt Simulated intervals in a vector of point processes
fn2 Parametric bootstrap test of independence between point processes
fn2B Lotwick-Silverman test of independence between point processes
fn2fix Parametric bootstrap test of independence between point processes
fn3 A graphical test to assess independence between two point processes
funMPPGen Simulated intervals in a vector of point processes
genbiPos Calculating the set of close points
GenSons Generating a multivariate Neyman-Scott cluster process
gentriPos Calculating the set of close points
HDFaux Estimating the D-function
IndNHNeyScot Generating a vector of independent Neyman-Scott cluster processes
IndNHPP Generates trajectories of independent Poisson processes
IndTestPP Tests of Independence and Analysis of Dependence between Point Processes in Time
IntMPP Simulated intervals in a vector of point processes
Jenv Estimating the cross J-function and testing independence
Kenv Estimating cross K-function and testing independence
marca Identifying the occurrence points of the indicator processes in a CPSP
miKS Parametric bootstrap test of independence between point processes
mirank Parametric bootstrap test of independence between point processes
nearestD Estimating the D-function
nearestdist Distance to the nearest point
NHD Estimating the D-function
NHDaux Estimating the D-function
NHDFaux Estimating the cross J-function and testing independence
NHF Estimating the F-function
NHFaux Estimating the F-function
NHJ Estimating the cross J-function and testing independence
NHJaux Estimating the cross J-function and testing independence
NHK Estimating cross K-function and testing independence
NHKaux Estimating cross K-function and testing independence
NHKaux2 Estimating cross K-function and testing independence
NHKaux3 Estimating cross K-function and testing independence
nMenr Estimating the D-function
NumI Simulated intervals in a vector of point processes
pdist Distance to the nearest point
PlotICPSP Plotting the occurrence points of the indicator processes in a CPSP
PlotMargP Plotting the occurrence points of a vector of point processes
PlotMCPSP Plotting the occurrence points of the marginal processes in a CPSP
prodN2 Estimating the D-function
PsimNHPc Generating a Common Poisson Shock Process
simHPc Generating points in a homogenous Poisson process
simNHPc Generating points in a Poisson process
SpecGap Stationary distribution of a matrix and its spectral gap
TestIndLS Lotwick-Silverman test of independence between point processes
TestIndNH Parametric bootstrap test of independence between point processes
TranM Estimation of the transition matrix of a Markov chain
TxBHZ Daily maximum temperature at Barcelona, Huesca and Zaragoza
uniongentri Calculating the set of close points