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Diffstat (limited to 'R/cd.sparsestep.R')
| -rw-r--r-- | R/cd.sparsestep.R | 73 |
1 files changed, 0 insertions, 73 deletions
diff --git a/R/cd.sparsestep.R b/R/cd.sparsestep.R deleted file mode 100644 index 29dbec8..0000000 --- a/R/cd.sparsestep.R +++ /dev/null @@ -1,73 +0,0 @@ -#' @title Coordinate descent algorithm for SparseStep -#' -#' -#' @export -#' -sparsestep.cd <- function(x, y, lambdas=NULL, epsilon=1e-5, intercept=TRUE, - ...) -{ - nm <- dim(X) - n <- nm[1] - m <- nm[2] - one <- rep(1, n) - - if (intercept) { - meanx <- drop(one %*% x)/n - x <- scale(x, meanx, FALSE) - mu <- mean(y) - y <- drop(y - mu) - } else { - meanx <- rep(0, m) - mu <- 0 - y <- drop(y) - } - - XX <- t(x) %*% x - Xy <- t(x) %*% y - - #gammas <- 2^(seq(log(1e6)/log(2), log(1e-8)/log(2))) - - num.lambdas <- length(lambdas) - #num.gammas <- length(gammas) - - #betas <- array(0, dim=c(num.gammas, num.lambdas, m)) - betas <- array(0, dim=c(num.lambdas, m)) - for (l in num.lambdas:1) { - lambda <- lambdas[l] - # initialize beta - if (l == num.lambdas) { - beta <- as.vector(matrix(0, 1, m)) - } else { - #beta <- betas[num.gammas, l+1, ] - beta <- betas[l+1, ] - } - - j <- 1 - last.beta <- as.vector(matrix(0, 1, m)) - while (TRUE) { - # code - b <- -2 * x[, j] %*% (y - x[, -j] %*% last.beta[-j]) - a <- x[, j] %*% x[, j] - if (abs(last.beta[j]) > epsilon) { - beta[j] <- b/a - } else { - beta[j] <- (2*b - lambda*sign(last.beta[j]))/ - (2*a) - } - # check convergence - if (sum(abs(beta - last.beta)) < 1e-10) { - break - } else { - last.beta <- beta - } - # continue - j <- j %% m + 1 - } - betas[l, ] <- beta - } - - return(betas) -} - - - |
