Package to analyse population time series (trend analysis)
Manuel-- The proper package depends entirely on what your data are: how many sites you collect counts for, whether those sites are a probability sample over an area or the only locations you are making inferences about (e.g., census counts), whether those counts have Poisson error, overdispersion (e.g., aggregation) or zero-inflation (e.g., extra 0s from bad weather or bad sites), imperfect detection, marked individuals, whether you expect a linear or only monotonic trend, whether you have covariates that vary by year (e.g., annual precipitation or winter NINO3.4), or or other aspects I haven't yet dealt with. A bit more information about what you have in terms of data, and about the questions you are interested within the broad definition of "trend" might get you informed answers. Tom 2 On Wed, Oct 19, 2016 at 5:47 AM, Manuel Sp?nola <mspinola10 at gmail.com> wrote:
Dear list members, What is the appropriate package to analyze population time series (trend analysis) when you have one count per year. Best, Manuel -- *Manuel Sp?nola, Ph.D.* Instituto Internacional en Conservaci?n y Manejo de Vida Silvestre Universidad Nacional Apartado 1350-3000 Heredia COSTA RICA mspinola at una.cr <mspinola at una.ac.cr> mspinola10 at gmail.com Tel?fono: (506) 8706 - 4662 Personal website: Lobito de r?o <https://sites.google.com/ site/lobitoderio/> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/> [[alternative HTML version deleted]]
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