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 Spínola <mspinol...@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 Spínola, Ph.D.* > Instituto Internacional en Conservación y Manejo de Vida Silvestre > Universidad Nacional > Apartado 1350-3000 > Heredia > COSTA RICA > mspin...@una.cr <mspin...@una.ac.cr> > mspinol...@gmail.com > Teléfono: (506) 8706 - 4662 > Personal website: Lobito de río <https://sites.google.com/ > site/lobitoderio/> > Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/> > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-ecology mailing list > R-sig-ecology@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-ecology [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
