The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 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:

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

Downloads:

Package source: BLA_1.0.1.tar.gz
Windows binaries: r-devel: BLA_1.0.1.zip, r-release: BLA_1.0.1.zip, r-oldrel: BLA_1.0.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BLA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.