Description Usage Arguments Value Examples
View source: R/BayesKnockdown.r
Calculates posterior probabilities for edges from a knockeddown gene to each of a set of potential target genes. More generally, it calculates posterior probabilities between a single predictor variable and each of a set of response variables, incorporating prior probabilities potentially unique to each response variable.
1  BayesKnockdown(x, y, prior = 0.5, g = sqrt(length(x)))

x 

y 
Outcome matrix: 
prior 
Prior probabilities for the outcome variables. Defaults to 0.5 for all variables. 
g 
The value to use for Zellner's gprior. Defaults to the square root of the number of observations. 
A vector of p
posterior probabilities indicating
the probability of a relationship between the predictor variable
and each outcome variable.
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