Fits boundary line models to datasets as proposed by Webb (1972) <doi:10.1080/00221589.1972.11514472> and makes statistical inferences about their parameters. Provides additional tools for testing datasets for evidence of boundary presence and selecting initial starting values for model optimization prior to fitting the boundary line models. It also includes tools for conducting post-hoc analyses such as predicting boundary values and identifying the most limiting factor (Miti, Milne, Giller, Lark (2024) <doi:10.1016/j.fcr.2024.109365>). This ensures a comprehensive analysis for datasets that exhibit upper boundary structures.
Version: 1.0.1 Depends: R (≥ 4.0) Imports: data.table, MASS, mvtnorm, numDeriv, stats Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-05-28 DOI: 10.32614/CRAN.package.BLA Author: Chawezi Miti [cre, aut, cph], Richard M Lark [aut], Alice E Milne [aut], Ken E Giller [aut], Victor O Sadras [ctb], University of Nottingham/Rothamsted Research [fnd] Maintainer: Chawezi Miti <chawezi.miti at nottingham.ac.uk> BugReports: https://github.com/chawezimiti/BLA/issues License: GPL (≥ 3) URL: https://chawezimiti.github.io/BLA/ NeedsCompilation: no Materials: README NEWS CRAN checks: BLA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BLA to link to this page.
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