BLA: Boundary Line Analysis

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 ORCID iD [cre, aut, cph], Richard M Lark ORCID iD [aut], Alice E Milne ORCID iD [aut], Ken E Giller ORCID iD [aut], Victor O Sadras [ctb], University of Nottingham/Rothamsted Research [fnd]
Maintainer: Chawezi Miti <chawezi.miti at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: BLA results


Reference manual: BLA.pdf
Vignettes: Boundary Line Analysis
Use of censored bivariate normal model function for yield gap analysis
Introduction to boundary line analysis


Package source: BLA_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BLA_1.0.1.tgz, r-oldrel (arm64): BLA_1.0.1.tgz, r-release (x86_64): BLA_1.0.1.tgz, r-oldrel (x86_64): BLA_1.0.1.tgz


Please use the canonical form to link to this page.