NHPoisson (version 3.4)

Modelling and Validation of Non Homogeneous Poisson Processes

Description

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

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Version

Install

install.packages('NHPoisson')

Monthly Downloads

396

Version

3.4

License

GPL (>= 2)

Maintainer

Ana C Cebrian

Last Published

January 26th, 2026

Functions in NHPoisson (3.4)

dropAIC.fun

Calculate the AIC for all one-covariate deletions from the current model

globalval.fun

Perform a global validation analysis for a NHPP

extractAIC-methods

Method mle for Function extractAIC

emplambdaD.fun

Empirical occurrence rates of a NHPP on disjoint intervals

graphResCov.fun

Perform lurking variable plots for a set of variables

fitPP.fun

Fit a non homogeneous Poisson Process

emplambda.fun

Empirical occurrence rates of a NHPP on overlapping intervals

addAIC.fun

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

graphrate.fun

Plot fitted and empirical PP occurrence rates

confintAsin.fun

Compute confidence intervals for the \(\beta\) parameters

unifres.fun

Calculate exponential and uniform (generalized) residuals of a HPP

graphResX.fun

Perform a lurking variable plot

transfH.fun

Transform a NHPP into a HPP

testlik.fun

Likelihood ratio test to compare two nested models

profile-methods

Method mlePP for Function profile

resQQplot.fun

Perform a qqplot for the residuals of a NHPP

graphres.fun

Plot NHPP residuals versus time or monotonous variables

mlePP-class

Class "mlePP" for results of maximum likelihood estimation of Poisson processes with covariates

graphresU.fun

Validation analysis of PP uniform (generalized) residuals

stepAICmle.fun

Choose the best PP model by AIC in a stepwise algorithm

simNHP.fun

Generate the occurrence points of a NHPP

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

POTevents.fun

Calculate extreme events using a POT approach

NHPoisson-package

Statistical modelling of non homogeneous Poisson processes

LRTpv.fun

Calculate the p-value of a likelihood ratio test for each covariate in the model

VARbeta.fun

Calculate the covariance matrix of the \(\hat \beta\) vector.

CalcResD.fun

Calculate NHPP residuals on disjoint intervals

GenEnv.fun

Calculation of simulated envelopes