Description Usage Arguments Details Examples
Provides six plots for each covariate index; histogram, path plot and acf plot for beta and for its subgradient.
1 2 |
x |
an object of class "MHLS", which is an output of |
index |
an index of covariates to plot. |
skipS |
logical. If |
... |
additional arguments passed to or from other methods. |
plot.MHLS
provides summary plots of beta and subgradient.
The first column provides histogram of beta and subgradient, while the second
and the third columns provide path and acf plots, respectively.
If skipS = TRUE
, this function provides summary plots for beta only.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | #' set.seed(123)
n <- 10
p <- 5
X <- matrix(rnorm(n * p), n)
Y <- X %*% rep(1, p) + rnorm(n)
sigma2 <- 1
lbd <- .37
weights <- rep(1, p)
LassoResult <- lassoFit(X = X, Y = Y, lbd = lbd, type="lasso", weights = weights)
B0 <- LassoResult$B0
S0 <- LassoResult$S0
plot(MHLS(X = X, PE = rep(0, p), sig2 = 1, lbd = 1, group = 1:p,
weights = weights, B0 = B0, S0 = S0, niter = 50, burnin = 0,
type = "coeff"))
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