# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "smatr" in publications use:' type: software license: GPL-3.0-or-later title: 'smatr: (Standardised) Major Axis Estimation and Testing Routines' version: 3.4-8 identifiers: - type: doi value: 10.32614/CRAN.package.smatr abstract: Methods for fitting bivariate lines in allometry using the major axis (MA) or standardised major axis (SMA), and for making inferences about such lines. The available methods of inference include confidence intervals and one-sample tests for slope and elevation, testing for a common slope or elevation amongst several allometric lines, constructing a confidence interval for a common slope or elevation, and testing for no shift along a common axis, amongst several samples. See Warton et al. 2012 for methods description. authors: - family-names: Warton given-names: David email: david.warton@unsw.edu.au - family-names: Duursma given-names: Remko email: remkoduursma@gmail.com - family-names: Falster given-names: Daniel email: daniel.falster@unsw.edu.au orcid: https://orcid.org/0000-0002-9814-092X - family-names: Taskinen given-names: Sara - family-names: Kar given-names: Fonti email: f.kar@unsw.edu.au orcid: https://orcid.org/0000-0002-2760-3974 preferred-citation: type: article title: smatr 3 - an R package for estimation and inference about allometric lines authors: - family-names: Warton given-names: David I. - family-names: Duursma given-names: Remko A. - family-names: Falster given-names: Daniel S. - family-names: Taskinen given-names: Sara year: '2012' volume: '3' journal: Methods in Ecology and Evolution start: 257-259 repository: https://traitecoevo.r-universe.dev repository-code: https://github.com/traitecoevo/smatr commit: fcc3f6839b66f24bd339add42126e88668b85cc7 url: https://github.com/traitecoevo contact: - family-names: Kar given-names: Fonti email: f.kar@unsw.edu.au orcid: https://orcid.org/0000-0002-2760-3974