# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "glmmfields" in publications use:' type: software title: 'glmmfields: Generalized Linear Mixed Models with Robust Random Fields for Spatiotemporal Modeling' version: 0.1.8 doi: 10.1002/ecy.2403 identifiers: - type: doi value: 10.32614/CRAN.package.glmmfields abstract: 'Implements Bayesian spatial and spatiotemporal models that optionally allow for extreme spatial deviations through time. ''glmmfields'' uses a predictive process approach with random fields implemented through a multivariate-t distribution instead of the usual multivariate normal. Sampling is conducted with ''Stan''. References: Anderson and Ward (2019) .' authors: - family-names: Anderson given-names: Sean C. email: sean@seananderson.ca - family-names: Ward given-names: Eric J. preferred-citation: type: article title: 'Black swans in space: modelling spatiotemporal processes with extremes' authors: - family-names: Anderson given-names: Sean C. email: sean@seananderson.ca - family-names: Ward given-names: Eric J. year: '2019' journal: Ecology volume: '100' issue: '1' doi: 10.1002/ecy.2403 start: e02403 repository: https://noaa-fisheries-integrated-toolbox.r-universe.dev repository-code: https://github.com/seananderson/glmmfields commit: ddf3b77ca8bc1f45a370f365842c868b7c25dd84 url: https://github.com/seananderson/glmmfields contact: - family-names: Anderson given-names: Sean C. email: sean@seananderson.ca