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\"MHLS\".\n\n\n```r\n## S3 method for class 'MHLS'\nsummary(object, ...)\n```\n\n## Arguments\n\n- `object`: an object of class \"MHLS\", which is a result of `MHLS`.\n- `...`: additional arguments affecting the summary produced.\n\n## Returns\n\nmean, median, standard deviation, 2.5% quantile and 97.5% quantile for each beta and its subgradient.\n\n\n\n## Details\n\nThis function provides a summary of each sampled beta and subgradient.\n\n## Examples\n\n```r\n#' set.seed(123)\nn <- 10\np <- 5\nX <- matrix(rnorm(n * p), n)\nY <- X %*% rep(1, p) + rnorm(n)\nsigma2 <- 1\nlbd <- .37\nweights <- rep(1, p)\nLassoResult <- lassoFit(X = X, Y = Y, lbd = lbd, type = \"lasso\", weights = weights)\nB0 <- LassoResult$B0\nS0 <- LassoResult$S0\nsummary(MHLS(X = X, PE = rep(0, p), sig2 = sigma2, lbd = lbd,\n weights = weights, B0 = B0, S0 = S0, niter = 50, burnin = 0,\n type = \"coeff\"))\n```"}]}]}]}]}]}],["$","div",null,{"className":"lg:w-1/3 lg:border-l px-1 sm:px-8 pt-8 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