BarTxTn                 Barcelona temperature data
CIdelta.fun             Confidence intervals for lambda(t) using delta
                        method
CItran.fun              Confidence intervals for lambda(t) based on
                        transformation
CalcRes.fun             Calculate NHPP residuals on overlapping
                        intervals
CalcResD.fun            Calculate NHPP residuals on disjoint intervals
GenEnv.fun              Calculation of simulated envelopes
LRTpv.fun               Calculate the p-value of a likelihood ratio
                        test for each covariate in the model
NHPoisson-package       Statistical modelling of non homogeneous
                        Poisson processes
POTevents.fun           Calculate extreme events using a POT approach
VARbeta.fun             Calculate the covariance matrix of the \hat
                        beta vector.
addAIC.fun              Calculate the AIC for all one-covariate
                        additions to the current model
confintAsin.fun         Compute confidence intervals for the beta
                        parameters
dropAIC.fun             Calculate the AIC for all one-covariate
                        deletions from the current model
emplambda.fun           Empirical occurrence rates of a NHPP on
                        overlapping intervals
emplambdaD.fun          Empirical occurrence rates of a NHPP on
                        disjoint intervals
extractAIC-methods      Method 'mle' for Function 'extractAIC'
fitPP.fun               Fit a non homogeneous Poisson Process
globalval.fun           Perform a global validation analysis for a NHPP
graphResCov.fun         Perform lurking variable plots for a set of
                        variables
graphResX.fun           Perform a lurking variable plot
graphrate.fun           Plot fitted and empirical PP occurrence rates
graphres.fun            Plot NHPP residuals versus time or monotonous
                        variables
graphresU.fun           Validation analysis of PP uniform (generalized)
                        residuals
mlePP-class             Class '"mlePP"' for results of maximum
                        likelihood estimation of Poisson processes with
                        covariates
profile-methods         Method 'mlePP' for Function 'profile'
resQQplot.fun           Perform a qqplot for the residuals of a NHPP
simNHP.fun              Generate the occurrence points of a NHPP
stepAICmle.fun          Choose the best PP model by AIC in a stepwise
                        algorithm
testlik.fun             Likelihood ratio test to compare two nested
                        models
transfH.fun             Transform a NHPP into a HPP
unifres.fun             Calculate exponential and uniform (generalized)
                        residuals of a HPP
