Modelling and Validation of Non Homogeneous Poisson Processes
Calculate the AIC for all one-covariate additions to the current model
Calculate NHPP residuals on overlapping intervals
Calculate NHPP residuals on disjoint intervals
Confidence intervals for using delta method
Confidence intervals for based on transformation
Compute confidence intervals for the parameters
Calculate the AIC for all one-covariate deletions from the current mod...
Empirical occurrence rates of a NHPP on overlapping intervals
Empirical occurrence rates of a NHPP on disjoint intervals
Method mle
for Function extractAIC
Fit a non homogeneous Poisson Process
Calculation of simulated envelopes
Perform a global validation analysis for a NHPP
Plot fitted and empirical PP occurrence rates
Plot NHPP residuals versus time or monotonous variables
Perform lurking variable plots for a set of variables
Validation analysis of PP uniform (generalized) residuals
Perform a lurking variable plot
Calculate the p-value of a likelihood ratio test for each covariate in...
Class "mlePP"
for results of maximum likelihood estimation of Poisso...
Statistical modelling of non homogeneous Poisson processes
Calculate extreme events using a POT approach
Method mlePP
for Function profile
Perform a qqplot for the residuals of a NHPP
Generate the occurrence points of a NHPP
Choose the best PP model by AIC in a stepwise algorithm
Likelihood ratio test to compare two nested models
Transform a NHPP into a HPP
Calculate exponential and uniform (generalized) residuals of a HPP
Calculate the covariance matrix of the vector.
Tools for modelling, ML estimation, validation analysis and simulation of non homogeneous Poisson processes in time.