BIC: Determine parameters of scPADGRN model using Bayesion...
In xzheng-ac/scPADGRN: A PADMM approach for reconstructing DGRN using scRNA-seq

Description Usage Arguments Value Examples

Determine parameters of scPADGRN model using Bayesion information criterion.

1	BIC(Y, eps, Lambda)

`Y`	Cluster-level data, a list of matrix, stand for gene expression data at different time points.
`eps`	Threshold, controls "Dim" function in objective function of BIC optimization problem.
`Lambda`	Candidates for parameter selection, a vector that contains different value.

`Bi`	a matrix, each entry is objective value of BIC optimizaiton problem for different alphas and betas

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (Y, eps, Lambda)
{
    lenL <- length(Lambda)
    N <- length(Y)
    Bi <- matrix(0, lenL, lenL)
    for (i in c(1:lenL)) {
        for (j in c(1:lenL)) {
            A <- preADMM(N, Y, Lambda[i], Lambda[j], 0.01)
            A <- A[[1]]
            Bi[i, j] <- BI(Y, A, Lambda[i], Lambda[j], eps)
        }
    }
    return(Bi)
  }