NHPoisson3.3 package

Modelling and Validation of Non Homogeneous Poisson Processes

addAIC.fun

Calculate the AIC for all one-covariate additions to the current model

CalcRes.fun

Calculate NHPP residuals on overlapping intervals

CalcResD.fun

Calculate NHPP residuals on disjoint intervals

CIdelta.fun

Confidence intervals for λ(t)\lambda(t) using delta method

CItran.fun

Confidence intervals for λ(t)\lambda(t) based on transformation

confintAsin.fun

Compute confidence intervals for the β\beta parameters

dropAIC.fun

Calculate the AIC for all one-covariate deletions from the current mod...

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

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...

mlePP-class

Class "mlePP" for results of maximum likelihood estimation of Poisso...

NHPoisson-package

Statistical modelling of non homogeneous Poisson processes

POTevents.fun

Calculate extreme events using a POT approach

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

VARbeta.fun

Calculate the covariance matrix of the β^\hat \beta vector.

Tools for modelling, ML estimation, validation analysis and simulation of non homogeneous Poisson processes in time.

  • Maintainer: Ana C. Cebrian
  • License: GPL (>= 2)
  • Last published: 2020-02-19