Publication
Cold: an R package for the analysis of count longitudinal data
| dc.contributor.author | Gonçalves, M. Helena | |
| dc.contributor.author | Salome Cabral, M. | |
| dc.date.accessioned | 2021-09-15T11:55:24Z | |
| dc.date.available | 2021-09-15T11:55:24Z | |
| dc.date.issued | 2021-08 | |
| dc.description.abstract | This paper describes the R package cold for the analysis of count longitudinal data. In this package marginal and random effects models are considered. In both cases estimation is via maximization of the exact likelihood and serial dependence among observations is assumed to be of Markovian type and referred as the integer-valued autoregressive of order one process. For random effects models adaptive Gaussian quadrature and Monte Carlo methods are used to compute integrals whose dimension depends on the structure of random effects. cold is written partly in R language, partly in Fortran 77, interfaced through R and is built following the S4 formulation of R methods. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.18637/jss.v099.i03 | pt_PT |
| dc.identifier.issn | 1548-7660 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/17117 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Foundation for Open Access Statistics | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Count longitudinal data | pt_PT |
| dc.subject | Exact likelihood | pt_PT |
| dc.subject | Markov chain | pt_PT |
| dc.subject | Marginal models | pt_PT |
| dc.subject | Random effects models | pt_PT |
| dc.title | Cold: an R package for the analysis of count longitudinal data | pt_PT |
| dc.title.alternative | Frio: um pacote R para a análise de dados longitudinais de contagem | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/157257/PT | |
| oaire.citation.issue | 3 | pt_PT |
| oaire.citation.title | Journal of Statistical Software | pt_PT |
| oaire.citation.volume | 99 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Gonçalves | |
| person.familyName | Cabral | |
| person.givenName | Maria Helena Neves de Queirós | |
| person.givenName | M. Salomé | |
| person.identifier.ciencia-id | 8D1A-6263-EDFD | |
| person.identifier.orcid | 0000-0002-6990-7239 | |
| person.identifier.orcid | 0000-0003-4462-4811 | |
| person.identifier.rid | K-9285-2015 | |
| person.identifier.rid | P-3373-2015 | |
| person.identifier.scopus-author-id | 55023817000 | |
| person.identifier.scopus-author-id | 36792243100 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 1c45e12e-ef16-4692-91cc-36193d403399 | |
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