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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