Package: BLA 1.0.2

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.

Authors: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]

BLA_1.0.2.tar.gz
BLA_1.0.2.zip(r-4.7)BLA_1.0.2.zip(r-4.6)BLA_1.0.2.zip(r-4.5)
BLA_1.0.2.tgz(r-4.6-any)BLA_1.0.2.tgz(r-4.5-any)
BLA_1.0.2.tar.gz(r-4.7-any)BLA_1.0.2.tar.gz(r-4.6-any)
BLA_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BLA/json (API)

# Install 'BLA' in R:
install.packages('BLA', repos = c('https://chawezimiti.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/chawezimiti/bla/issues

Pkgdown/docs site:https://chawezimiti.github.io

Datasets:

On CRAN:

Conda:

5.13 score 1 stars 30 scripts 433 downloads 16 exports 19 dependencies

Last updated from:83aee691b7. Checks:2 NOTE, 7 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE169
source / vignettesOK242
linux-release-x86_64OK167
macos-release-arm64OK181
macos-oldrel-arm64OK159
windows-develNOTE120
windows-releaseOK123
windows-oldrelOK114
wasm-releaseOK135

Exports:APblbinble_profileblqrbolidescbvnexpl_boundarykurtlimfactorna.dropocskewpredictBLseHessianskewstartValuessummastat

Dependencies:classclassIntconcavemancurldata.tableDBIe1071jsonliteKernSmoothMASSmvtnormnumDerivproxyRcpps2sfunitsV8wk

Introduction to boundary line analysis
Background | Boundary line analysis using BLA package | Load the BLA package | Data | Exploratory analysis | Normality test | Outlier detection and removal | Test for presence of boundary in dataset | Fitting boundary line using different methods | Bolides algorithm | Binning method | Quantile regression method | Censored bivariate normal model | Using your own defined model | Closing remarks | References
Rendered fromIntroduction_to_BLA.Rmdusingknitr::rmarkdown

Last update: 2024-05-27
Started: 2024-04-04

Boundary Line Analysis
Background | Boundary line analysis using BLA package | Load the BLA package | Data | Exploratory analysis | Normality test | Outlier detection and removal | Test for presence of boundary in dataset | Fitting boundary line using different methods | Bolides algorithm | Binning method | Quantile regression method | Censored bivariate normal model | Using your own defined model | Closing remarks | References
Rendered fromBLA.Rmdusingknitr::rmarkdown

Last update: 2024-05-27
Started: 2024-04-04

Use of censored bivariate normal model function for yield gap analysis
Introduction | Load the BLA package | Yield gap analysis using boundary lines | Soil P boundary line fitting | Data exploration | Fitting the boundary line to data | Soil pH boundary line fitting | Determination of most limiting factor | Concluding remarks | References
Rendered fromCensored_bivariate_normal_model.Rmdusingknitr::rmarkdown

Last update: 2024-05-23
Started: 2024-04-04