R: Modelling and Validation of Non Homogeneous Poisson Processes

# Modelling and Validation of Non Homogeneous Poisson Processes

## Documentation for package ‘NHPoisson’ version 3.4

- DESCRIPTION file

## Help Pages

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