out.ltsreg: out.ltsreg
In BMA: Bayesian Model Averaging
out.ltsreg R Documentation
out.ltsreg
Description
Function to identify potential outliers
Usage
out.ltsreg(x, y, delta)
Arguments
x
the design matrix
y
observations
delta
the threshold set by the user. Standardized residuals from least trimmed squares regression that are larger than delta are identified as potential outliers
Value
A 0/1 vector indicating whether each observation is a potential outlier. The function was designed for use with the variable and outlier selection function MC3.REG
Author(s)
Jennifer A. Hoeting
See Also
MC3.REG
BMA documentation built on April 23, 2022, 1:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| out.ltsreg | R Documentation |
out.ltsreg
Description
Function to identify potential outliers
Usage
out.ltsreg(x, y, delta)
Arguments
x |
the design matrix |
y |
observations |
delta |
the threshold set by the user. Standardized residuals from least trimmed squares regression that are larger than delta are identified as potential outliers |
Value
A 0/1 vector indicating whether each observation is a potential outlier. The function was designed for use with the variable and outlier selection function MC3.REG
Author(s)
Jennifer A. Hoeting
See Also
MC3.REG
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.