test_outlier_ombc {outlierMBC} | R Documentation |
Check if a new sample satisfies the outlier criteria.
Description
This function checks whether a given sample is an acceptable outlier with
respect to prob_range
and also computes the probability of sampling a more
extreme point from component g
.
Usage
test_outlier_ombc(
outlier_type,
mu,
sigma,
beta,
error_sd,
x_sample,
y_sample,
prob_range,
g
)
Arguments
outlier_type |
Character string governing whether the outliers are
outlying with respect to the explanatory variable only
( |
mu |
List of component mean vectors. |
sigma |
List of component covariance matrices. |
beta |
List of component regression coefficient vectors. |
error_sd |
Vector of component regression error standard deivations. |
x_sample |
New covariate sample. |
y_sample |
New response sample. |
prob_range |
Values for uniform sample rejection. |
g |
Component number. |
Value
test_outlier_ombc
returns a vector consisting of a logical value indicating
whether the new sample satisfies the outlier checks, and a numeric value
giving the probability of sampling a more extreme point from component g
.