NHPoisson-package | Statistical modelling of non homogeneous Poisson processes |
addAIC.fun | AIC of all one-covariate additions to the current model |
BarTxTn | Barcelona temperature data |
buscar | Generation of the occurrence points of a NHPP |
CalcRes.fun | NHPP residuals on overlapping intervals |
CalcResD.fun | NHPP residuals on disjoint intervals |
checkdim | Selection of the best model with 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 | 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 of a non homogeneous Poisson Process |
funSim.fun | Simulated envelopes |
GenEnv.fun | Simulated envelopes |
globalval.fun | Global validation analysis of a NHPP |
graphrate.fun | Plot of the fitted and empirical occurrence rate |
graphres.fun | Plot of the NHPP residuals |
graphResCov.fun | Lurking variable plots of a set of variables |
graphresU.fun | Validation analysis of PP uniform (generalized) residuals |
graphResX.fun | Lurking variable plot |
LRTpv.fun | Likelihood ratio test of the covariates in a 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 | Simulated envelopes |
POTevents.fun | Calculation of the extreme events using a POT approach |
profile-method | Method 'mlePP' for Function 'profile' |
profile-methods | Method 'mlePP' for Function 'profile' |
resQQplot.fun | QQplot of the residuals of a NHPP |
resSim.fun | QQplot of the residuals of a NHPP |
simNHP.fun | Generation of the occurrence points of a NHPP |
stepAICmle.fun | Selection of the best model with a stepwise algorithm |
testlik.fun | Likelihood ratio test to compare two nested models |
transfH.fun | Transforming a NHPP into a HPP |
unifres.fun | Exponential and Uniform (generalized) residuals of a HPP |
VARbeta.fun | Covariance matrix of the \hat beta vector. |