Boundary Line Analysis
Binning method for determining the boundary line model
Likelihood profile for various measurement error values
Boundary line model determination using quantile regression
Boundary line determination technique
Fitting boundary line using censored bivariate normal model
BLA: Boundary Line Analysis
Skewness
Testing evidence of boundary existence in dataset
kurtosis
Determination of the most limiting factor to biological response
Remove NA values
Octile Skewness
Predict boundary response
Print class cm
Print class wm
Hessian matrix
Starting values for optimization functions
Summary statistics
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.