theo_mu_sig: get analytic expressions of expectations, variances and...
| theo_mu_sig | R Documentation |
get analytic expressions of expectations, variances and covariances
Description
get analytic expressions of expectations, variances and covariances
Usage
theo_mu_sig(E, n1, n2, weights)
Arguments
E |
an edge matrix representing a similarity graph. Each row represents an edge and records the indices of two ends of an edge in two columns. The indices of observations in sample 1 are from 1 to n1 and indices of observations in sample 2 are from 1+n1 to n1+n2. |
n1 |
number of observations in sample 1 |
n2 |
number of observations in sample 2 |
weights |
weights assigned to each edges |
Value
mu |
the expectation of the between-sample edge-count. |
mu1 |
the expectation of the within-sample edge-count for sample 1. |
mu2 |
the expectation of the within-sample edge-count for sample 2. |
sig |
the variance of the between-sample edge-count. |
sig11 |
the variance of the within-sample edge-count for sample 1. |
sig22 |
the variance of the within-sample edge-count for sample 2. |
sig12 |
the covariance of the within-sample edge-counts. |
