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tests/Liso.R
In liso: Fitting lasso penalised additive isotone models
library(liso)
set.seed(121)
X = matrix(rnorm(50*40),40)
Y = X[,1]+ X[,2]+X[,3] + 0.5*rnorm(40)
cvobj = cv.liso(X,Y)
fitobj = liso.backfit(X,Y, lambda = cvobj$optimlam)
plot(Y, X * fitobj)
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liso documentation built on May 29, 2017, 6:47 p.m.
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library(liso)
set.seed(121)
X = matrix(rnorm(50*40),40)
Y = X[,1]+ X[,2]+X[,3] + 0.5*rnorm(40)
cvobj = cv.liso(X,Y)
fitobj = liso.backfit(X,Y, lambda = cvobj$optimlam)
plot(Y, X * fitobj)
Try the liso package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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