Description Usage Arguments Value Author(s)
View source: R/siRSM-inference.R
Computes 95% bootstrap confidence intervals for various features of the quadratic response surface, CONDITIONAL on the single index.
1 | ci.surface(obj, B=500, use.parallel=TRUE)
|
obj |
an object of class |
B |
number of bootstrap samples |
use.parallel |
if TRUE, exploits multiple cores by using foreach, doSNOW, etc |
In all components below, the lower 2.5% and upper 97.5% confidence limits, the mean, and the standard error are given:
stationary.point |
stationary point, ( |
prin.ax.1 |
1st principal axis, intercept ( |
prin.ax.2 |
2nd principal axis, intercept ( |
beta |
coefficients defining the quadratic response surface, |
line.congr |
slope ( |
line.incongr |
slope ( |
Huan Cheng, Mu Zhu
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