Modelling and Validation of Non Homogeneous Poisson Processes

addAIC.fun | AIC of all one-covariate additions to the current model |

BarTxTn | Barcelona temperature data |

CalcResD.fun | NHPP residuals on disjoint intervals |

CalcRes.fun | NHPP residuals on overlapping intervals |

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... |

emplambdaD.fun | Empirical occurrence rates of a NHPP on disjoint intervals |

emplambda.fun | Empirical occurrence rates of a NHPP on overlapping intervals |

extractAIC-methods | Method 'mle' for Function 'extractAIC' |

fitPP.fun | Fit of a non homogeneous Poisson Process |

GenEnv.fun | Simulated envelopes |

globalval.fun | Global validation analysis of a NHPP |

graphrate.fun | Plot of the fitted and empirical occurrence rate |

graphResCov.fun | Lurking variable plots of a set of variables |

graphres.fun | Plot of the NHPP residuals |

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... |

NHPoisson-package | Statistical modelling of non homogeneous Poisson processes |

POTevents.fun | Calculation of the extreme events using a POT approach |

profile-methods | Method 'mlePP' for Function 'profile' |

resQQplot.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. |

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