ci.index: Condidence Intervals for Single Index

In siRSM: Single-Index Response Surface Models

Description

Computes 95% bootstrap confidence intervals for the single index.

Usage

ci.index(y, U, V, B=100, use.parallel=TRUE, ...)

Arguments

y	vector, response
U	matrix, whose columns are covariates for factor one
V	matrix, whose columns are covariates for factor two
B	number of bootstap samples to take
use.parallel	if TRUE, exploits multiple cores by using foreach, doSNOW, etc
...	other arguments for siRSM, e.g., interaction.only=TRUE, trial=10

Value

A data.frame specifying the lower 2.5% and upper 97.5% confidence limits, the mean, and the standard error for each coordinate of the index.

Author(s)

Mu Zhu

siRSM documentation built on May 29, 2017, 10:54 a.m.