| extract_model | R Documentation |
Once evaluated extract a model.
extract_model(model, models_eval, which)
model |
A matrix with the names of the blocks. |
models_eval |
The output of |
which |
Either inner, outer or the row to extract the model. |
A matrix with the weights on the models_eval argument.
data("Russett", package = "RGCCA")
X_agric <- as.matrix(Russett[, c("gini", "farm", "rent")])
X_ind <- as.matrix(Russett[, c("gnpr", "labo")])
X_polit <- as.matrix(Russett[ , c("inst", "ecks", "death", "demostab",
"dictator")])
A <- list(Agric = X_agric, Ind = X_ind, Polit = X_polit)
C <- matrix(c(0, 0, 1, 0, 0, 1, 1, 1, 0), 3, 3)
out <- search_model(A = A, C = C, c1 =rep(1, 3), scheme = "factorial",
scale = FALSE, verbose = FALSE, ncomp = rep(1, length(A)),
bias = TRUE, BPPARAM = BiocParallel::SerialParam())
extract_model(C, out, "inner")
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