View source: R/Functions_BSS_SGL.R
| break.var.local.new | R Documentation | 
Compute local loss function.
break.var.local.new(
  method = "sparse",
  data,
  eta,
  q,
  max.iteration = 1000,
  tol = 10^(-4),
  pts,
  an,
  group.case = "columnwise",
  group.index = NULL
)
method | 
 method: sparse, group sparse  | 
data | 
 input data matrix, with each column representing the time series component  | 
eta | 
 tuning parameter eta for lasso  | 
q | 
 the AR order  | 
max.iteration | 
 max number of iteration for the fused lasso  | 
tol | 
 tolerance for the fused lasso  | 
pts | 
 the selected break points after the first step  | 
an | 
 the neighborhood size a_n  | 
group.case | 
 group sparse pattern: columnwise, rowwise.  | 
group.index | 
 group index for group sparse case  | 
A list oject, which contains the followings
A vector of loss functions that include some break point
A vector of loss functions that exclude some break point
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