calc_likelihood_score: Calculate Gaussian Likelihood score.
In chrischen1/GNET2: Constructing gene regulatory networks from expression data through functional module inference
calc_likelihood_score R Documentation
Calculate Gaussian Likelihood score.
Description
Calculate Gaussian Likelihood score.
Usage
calc_likelihood_score(x, group_labels)
Arguments
x
A n by p matrix.
group_labels
A vector of length n, indicating the group of rows.
Value
The sum of log likelihood score of each group on each column.
Examples
calc_likelihood_score(x = matrix(rnorm(5*10),5,10), group_labels = c(rep(1,2),rep(2,3)))
chrischen1/GNET2 documentation built on June 29, 2022, 8:53 a.m.
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| calc_likelihood_score | R Documentation |
Calculate Gaussian Likelihood score.
Description
Calculate Gaussian Likelihood score.
Usage
calc_likelihood_score(x, group_labels)
Arguments
x |
A n by p matrix. |
group_labels |
A vector of length n, indicating the group of rows. |
Value
The sum of log likelihood score of each group on each column.
Examples
calc_likelihood_score(x = matrix(rnorm(5*10),5,10), group_labels = c(rep(1,2),rep(2,3)))
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.
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