distrib_diff_lcwm_g {outlierMBC} | R Documentation |
Compute the dissimilarity for a single component of a Linear CWM.
Description
Computes the covariate dissimilarity value, the response dissimilarity value, and their aggregated dissimilarity value. It also obtains the covariate, response, and joint densities for every observation.
Usage
distrib_diff_lcwm_g(x, z_g, mu_g, sigma_g, mod_g, y_sigma_g, dd_weight = 0.5)
Arguments
x |
Covariate data only. |
z_g |
Component assignment probability vector. |
mu_g |
Component mean vector for the covariates. |
sigma_g |
Component covariance matrix for the covariates. |
mod_g |
Component regression model. |
y_sigma_g |
Component regression standard deviation for the response. |
dd_weight |
A value between |
Value
distrib_diff_lcwm_lcwm_g
returns a list with the following elements:
diff
Aggregated dissimilarity value for this component.
dens
Joint (covariate & response) density of all observations for this component.
diff_x
Covariate dissimilarity value for this component.
diff_y
Response dissimilarity value for this component.
dens_x
Covariate density of all observations for this component.
dens_y
Response density of all observations for this component.