resid_BS_confint: Residual resampling bootstrap pointwise confidence bands for...

In hoangtt1989/NOIS: Non-parametric Outlier Identification and Smoothing

Description

Residual resampling bootstrap pointwise confidence bands for 'NOIS_fit' objects

Usage

resid_BS_confint(NOIS_fit, conf_level = 0.05, fit_type = "NOIS",
  bias_correct = T, parallel = F, B = 500)

Arguments

NOIS_fit	A NOIS_fit.
conf_level	The significance level.
fit_type	The type of fit to use for confidence bands. Valid types are c('NOIS', 'regular'), where regular is the non-robust fit..
bias_correct	A logical indicating usage of bias correction.
parallel	A logical indicating parallel computation. A backend must be registered first.
B	Number of bootstrap replicates.

Value

A list with the following components.

up_predicted	The upper band.
low_predicted	The lower band.

See Also

Other NOIS confidence bands: EL_confint, NOIS_confint, pred_resid_BS_confint

hoangtt1989/NOIS documentation built on May 20, 2019, 2:08 p.m.