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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 |
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 |
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: 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 |
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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.
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