coef.bsrr {bestridge} | R Documentation |
This function provides estimated
coefficients from a fitted "bsrr
" object.
## S3 method for class 'bsrr' coef(object, sparse = TRUE, ...)
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.
# 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)