Description Usage Arguments Value Author(s) See Also Examples
This function provides estimated
coefficients from a fitted "bsrr
" object.
1 2 |
object |
A " |
sparse |
Logical or NULL, specifying whether the coefficients should be presented as sparse matrix or not. |
... |
Other arguments. |
If sparse == FALSE
, a vector containing the estimated coefficients
from a fitted "bsrr
" object is returned. If sparse == TRUE
,
a dgCMatrix
containing the estimated coefficients
is returned.
Liyuan Hu, Kangkang Jiang, Yanhang Zhang, Jin Zhu, Canhong Wen and Xueqin Wang.
1 2 3 4 5 6 7 8 9 10 11 12 | # Generate simulated data
n <- 200
p <- 20
k <- 5
rho <- 0.4
seed <- 10
Tbeta <- rep(0, p)
Tbeta[1:k*floor(p/k):floor(p/k)] <- rep(1, k)
Data <- gen.data(n, p, k, rho, family = "gaussian", beta = Tbeta, seed = seed)
lambda.list <- exp(seq(log(5), log(0.1), length.out = 10))
lm.bsrr <- bsrr(Data$x, Data$y, method = "pgsection")
coef(lm.bsrr)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.