# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "mvgam" in publications use:' type: software license: MIT title: 'mvgam: Multivariate (Dynamic) Generalized Additive Models' version: 1.1.3 doi: 10.18637/jss.v100.i05 identifiers: - type: doi value: 10.32614/CRAN.package.mvgam abstract: 'Fit Bayesian Dynamic Generalized Additive Models to sets of time series. Users can build dynamic nonlinear State-Space models that can incorporate semiparametric effects in observation and process components, using a wide range of observation families. Estimation is performed using Markov Chain Monte Carlo with Hamiltonian Monte Carlo in the software ''Stan''. References: Clark & Wells (2022) .' authors: - family-names: Clark given-names: Nicholas J email: nicholas.j.clark1214@gmail.com orcid: https://orcid.org/0000-0001-7131-3301 preferred-citation: type: article title: Dynamic Generalized Additive Models (DGAMs) for forecasting discrete ecological time series authors: - family-names: Clark given-names: Nicholas J email: nicholas.j.clark1214@gmail.com orcid: https://orcid.org/0000-0001-7131-3301 - family-names: Wells given-names: Konstans journal: Methods in Ecology and Evolution year: '2022' volume: '14' doi: 10.18637/jss.v100.i05 start: 771-784 repository: https://CRAN.R-project.org/package=mvgam repository-code: https://github.com/nicholasjclark/mvgam url: https://nicholasjclark.github.io/mvgam/ date-released: '2024-09-03' contact: - family-names: Clark given-names: Nicholas J email: nicholas.j.clark1214@gmail.com orcid: https://orcid.org/0000-0001-7131-3301