outl_toler: Tolerance outliers

In adamethods: Archetypoid Algorithms and Anomaly Detection

Description

Outliers according to a tolerance interval. This function is used by the archetypoid algorithms to identify the outliers. See the function nptol.int in package tolerance.

Usage

outl_toler(p_tol = 0.95, resid_vect, alpha = 0.05)

Arguments

p_tol	The proportion of observations to be covered by this tolerance interval.
resid_vect	Vector of n residuals, where n was the number of rows of the data matrix.
alpha	Significance level.

Value

Vector with the outliers.

Author(s)

Guillermo Vinue

References

Young, D., tolerance: An R package for estimating tolerance intervals, 2010. Journal of Statistical Software, 36(5), 1-39, https://doi.org/10.18637/jss.v036.i05

See Also

adalara, fadalara, do_outl_degree

Examples

outl_toler(0.95, 1:100, 0.05)
                                                     

adamethods documentation built on Aug. 4, 2020, 5:08 p.m.