Package: NHPoisson 3.3

Ana C. Cebrian

NHPoisson: Modelling and Validation of Non Homogeneous Poisson Processes

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

Authors:Ana C. Cebrian <acebrian@unizar.es>

NHPoisson_3.3.tar.gz
NHPoisson_3.3.tar.gz(r-4.5-noble)NHPoisson_3.3.tar.gz(r-4.4-noble)
NHPoisson_3.3.tgz(r-4.4-emscripten)NHPoisson_3.3.tgz(r-4.3-emscripten)
NHPoisson.pdf |NHPoisson.html✨
NHPoisson/json (API)

# Install 'NHPoisson' in R:
install.packages('NHPoisson', repos = 'https://cloud.r-project.org')
Datasets:
  • BarTxTn - Barcelona temperature data

On CRAN:

Conda:r-nhpoisson-3.3(2025-03-25)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.08 score 2 stars 2 packages 300 downloads 1 mentions 33 exports 63 dependencies

Last updated 5 years agofrom:e53c7ba8c9. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-linuxNOTEMar 24 2025
R-4.4-linuxNOTEMar 24 2025

Exports:addAIC.funbuscarCalcRes.funCalcResD.funcheckdimCIdelta.funCItran.funconfintAsin.fundropAIC.funemplambda.funemplambdaD.funextractAICfitPP.funfunSim.funGenEnv.funglobalval.fungraphrate.fungraphres.fungraphResCov.fungraphresU.fungraphResX.funLRTpv.funposk.funPOTevents.funprofileresQQplot.funresSim.funsimNHP.funstepAICmle.funtestlik.funtransfH.fununifres.funVARbeta.fun

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

Citation

To cite package ‘NHPoisson’ in publications use:

Cebrian AC (2020). NHPoisson: Modelling and Validation of Non Homogeneous Poisson Processes. R package version 3.3, https://CRAN.R-project.org/package=NHPoisson.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {NHPoisson: Modelling and Validation of Non Homogeneous
      Poisson Processes},
    author = {Ana C. Cebrian},
    year = {2020},
    note = {R package version 3.3},
    url = {https://CRAN.R-project.org/package=NHPoisson},
  }

Readme and manuals

Help Manual

Help pageTopics
Statistical modelling of non homogeneous Poisson processesNHPoisson-package NHPoisson
Calculate the AIC for all one-covariate additions to the current modeladdAIC.fun
Barcelona temperature dataBarTxTn
Calculate NHPP residuals on overlapping intervalsCalcRes.fun
Calculate NHPP residuals on disjoint intervalsCalcResD.fun
Confidence intervals for lambda(t) using delta methodCIdelta.fun
Confidence intervals for lambda(t) based on transformationCItran.fun
Compute confidence intervals for the beta parametersconfintAsin.fun
Calculate the AIC for all one-covariate deletions from the current modeldropAIC.fun
Empirical occurrence rates of a NHPP on overlapping intervalsemplambda.fun
Empirical occurrence rates of a NHPP on disjoint intervalsemplambdaD.fun
Method 'mle' for Function 'extractAIC'extractAIC,ANY-method extractAIC,mle-method extractAIC-methods
Fit a non homogeneous Poisson ProcessfitPP.fun
Calculation of simulated envelopesfunSim.fun GenEnv.fun posk.fun
Perform a global validation analysis for a NHPPglobalval.fun
Plot fitted and empirical PP occurrence ratesgraphrate.fun
Plot NHPP residuals versus time or monotonous variablesgraphres.fun
Perform lurking variable plots for a set of variablesgraphResCov.fun
Validation analysis of PP uniform (generalized) residualsgraphresU.fun
Perform a lurking variable plotgraphResX.fun
Calculate the p-value of a likelihood ratio test for each covariate in the modelLRTpv.fun
Class '"mlePP"' for results of maximum likelihood estimation of Poisson processes with covariatesmlePP-class
Calculate extreme events using a POT approachPOTevents.fun
Method 'mlePP' for Function 'profile'profile,mlePP-method profile-methods
Perform a qqplot for the residuals of a NHPPresQQplot.fun resSim.fun
Generate the occurrence points of a NHPPbuscar simNHP.fun
Choose the best PP model by AIC in a stepwise algorithmcheckdim stepAICmle.fun
Likelihood ratio test to compare two nested modelstestlik.fun
Transform a NHPP into a HPPtransfH.fun
Calculate exponential and uniform (generalized) residuals of a HPPunifres.fun
Calculate the covariance matrix of the \hat beta vector.VARbeta.fun