32797 20210507081943.0 doi 10.18637/jss.v064.i06 sideral 89585 ART-2015-89585 eng Cebrián, A.C. Universidad de Zaragoza (orcid)0000-0002-9052-9674 NHPoisson: An R package for fitting and validating nonhomogeneous Poisson processes 2015 Access copy available to the general public Unrestricted NHPoisson is an R package for the modeling of nonhomogeneous Poisson processes in one dimension. It includes functions for data preparation, maximum likelihood estimation, covariate selection and inference based on asymptotic distributions and simulation methods. It also provides specific methods for the estimation of Poisson processes resulting from a peak over threshold approach. In addition, the package supports a wide range of model validation tools and functions for generating nonhomogenous Poisson process trajectories. This paper is a description of the package and aims to help those interested in modeling data using nonhomogeneous Poisson processes. info:eu-repo/grantAgreement/ES/MEC/CGL2009-09646 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.379 2015 STATISTICS & PROBABILITY 7 / 123 = 0.057 2015 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 22 / 104 = 0.212 2015 Q1 T1 3.071 2015 Software 2015 Q1 Statistics, Probability and Uncertainty 2015 Q1 Statistics and Probability 2015 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Abaurrea, J. Universidad de Zaragoza (orcid)0000-0002-7974-7435 Asín, J. Universidad de Zaragoza (orcid)0000-0002-0174-789X 2007 265 Universidad de Zaragoza Dpto. Métodos Estadísticos Área Estadís. Investig. Opera. 64, 6 (2015), 1-25 Journal of Statistical Software Journal of Statistical Software 1548-7660 529180 http://zaguan.unizar.es/record/32797/files/texto_completo.pdf Versión publicada 76599 http://zaguan.unizar.es/record/32797/files/texto_completo.jpg?subformat=icon icon Versión publicada http://www.jstatsoft.org/article/view/v064i06 Texto completo de la revista oai:zaguan.unizar.es:32797 articulos driver 2021-05-07-08:09:11 ARTICLE