Description Usage Arguments Details Value Author(s) See Also Examples
Print the primary elements of the "bsrr
" object.
1 2 |
x |
A " |
digits |
Minimum number of significant digits to be used. |
nonzero |
Whether the output should only contain the non-zero coefficients. |
... |
additional print arguments |
prints the fitted model and returns it invisibly.
No return value, called for side effect
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 13 | # 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, lambda.list = lambda.list, method = "sequential")
print(lm.bsrr)
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