Description Usage Arguments Details Value Author(s) References See Also Examples
This function gets coefficients from a compCL
object, using the
stored "compCL.fit"
object.
1 2 
object 
fitted 
trim 
whether to use the trimmed result. Default is FASLE. 
s 
value(s) of the penalty parameter

... 
not used. 
s
is a vector of lambda values at which the coefficients are requested. If s
is not in the
lam
sequence used for fitting the model, the coef
function will use linear
interpolation, so the function should be used with caution.
The coefficients at the requested tuning parameter values in s
.
Zhe Sun and Kun Chen
Lin, W., Shi, P., Peng, R. and Li, H. (2014) Variable selection in regression with compositional covariates, https://academic.oup.com/biomet/article/101/4/785/1775476. Biometrika 101 785979.
cv.compCL
and compCL
, and
predict
and plot
methods
for "cv.compCL"
object.
1 2 3 4 5 6 7 8 9 10  p = 30
n = 50
beta = c(1, 0.8, 0.6, 0, 0, 1.5, 0.5, 1.2)
beta = c(beta, rep(0, times = p  length(beta)))
Comp_data = comp_Model(n = n, p = p, beta = beta, intercept = FALSE)
cvm1 < cv.compCL(y = Comp_data$y, Z = Comp_data$X.comp,
Zc = Comp_data$Zc, intercept = Comp_data$intercept)
coef(cvm1)
coef(cvm1, s = NULL)
coef(cvm1, s = c(1, 0.5, 0.1))

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