Differences between the critical points for two factor's levels
Differences between the estimation of
critical for two
Parametric or nonparametric regression model
First factor's level at which to perform the differences between critical points.
Second factor's level at which to perform the differences between critical points.
Number which determines any inference process. By default
Differences are calculated by subtracting a factor relative to
another (level2 - level1). By default
NULL, so the differences calculated are for all
possible combinations between two factors. Additionally, it is obtained
the 95% confidence interval for this difference which let us to make
inference about them.
An object is returned with the following elements:
a table with a couple of factor's level where it is used to calculate the differences between the critical points, and their 95% confidence interval (for the estimation, first and second derivative).
Marta Sestelo, Nora M. Villanueva and Javier Roca-Pardinas.
Sestelo, M. (2013). Development and computational implementation of estimation and inference methods in flexible regression models. Applications in Biology, Engineering and Environment. PhD Thesis, Department of Statistics and O.R. University of Vigo.
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