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1 | #' Similar to discardSimilarModels, for Lasso-rank procedure (focus on columns) |
2 | #' |
3 | #' @param B1 array of relevant coefficients (of size p*m*length(gridlambda)) |
4 | #' @param rho covariance matrix |
5 | #' @param pi weight parameters |
6 | #' |
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7 | #' @return a list with B1, in, rho, pi |
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8 | #' @export |
9 | #' |
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10 | discardSimilarModels2 = function(B1,rho,pi) |
11 | { ind = c() |
12 | dim_B1 = dim(B1) |
13 | B2 = array(0,dim=c(dim_B1[1],dim_B1[2],dim_B1[3])) |
14 | sizeLambda=dim_B1[3] |
15 | glambda = rep(0,sizeLambda) |
16 | |
17 | suppressmodel = discardSimilarModels(B1,B2,glambda,rho,pi) |
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18 | return (list(B1 = suppressmodel$B1, ind = suppressmodel$ind, |
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19 | rho = suppressmodel$rho, pi = suppressmodel$pi)) |
20 | } |