Description Usage Arguments Value Author(s) References Examples
View source: R/predict.sparsestep.R
Predicts the outcome variable for the SparseStep model for each value of lambda supplied to the model.
1 2 |
object |
Fitted |
newx |
Matrix of new values for |
... |
further argument are ignored |
a matrix of numerical predictions of size nobs x nlambda
Gerrit J.J. van den Burg, Patrick J.F. Groenen, Andreas Alfons
Maintainer: Gerrit J.J. van den Burg <gertjanvandenburg@gmail.com>
Van den Burg, G.J.J., Groenen, P.J.F. and Alfons, A. (2017). SparseStep: Approximating the Counting Norm for Sparse Regularization, arXiv preprint arXiv:1701.06967 [stat.ME]. URL https://arxiv.org/abs/1701.06967.
1 2 3 4 | x <- matrix(rnorm(100*20), 100, 20)
y <- rnorm(100)
fit <- sparsestep(x, y)
yhat <- predict(fit, x)
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