Description Usage Arguments Value See Also Examples
Takes a fitted sail object produced by sail()
or
cv.sail()$sail.fit
and plots a persp
for a
prespecified variable at a given value of lambda and on the scale of the
linear predictor. Currently only implemented for type="gaussian"
1 2 3 
object 
a fitted 
x 
original data supplied to the original call to 
xvar 
a character corresponding to the predictor to be plotted. Only
one variable name should be supplied, if more than one is supplied, only
the first element will be plotted. This variable name must be in

s 
a single value of the penalty parameter 
f.truth 
true function. Only used for simulation purposes when the
truth is known. The function takes as a input two numeric vectors e.g.

interation.only 
if 
truthonly 
only plot the truth. 
npoints 
number of points in the grid to calculate the perspective plot. Default: 30 
col 
color of the line. The first element corresponds to the color used
for the estimated function and the second element is for the true function
(if 
title_z 
title for the plot, Default: ” 
xlab 
character for xlabel. if missing, variable name is used 
ylab 
character for ylabel. if missing, variable name is used 
zlab 
character for zlabel. if missing, variable name is used 
... 
currently ignored 
A plot is produced and nothing is returned
persp
coef.sail
predict.sail
, rug
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19  f.basis < function(i) splines::bs(i, degree = 3)
# Parallel
library(doParallel)
cl < makeCluster(2)
registerDoParallel(cl)
cvfit < cv.sail(x = sailsim$x, y = sailsim$y, e = sailsim$e,
parallel = TRUE, nlambda = 10,
maxit = 100, basis = f.basis,
nfolds = 3, dfmax = 10)
stopCluster(cl)
# plot cverror curve
plot(cvfit)
# nonzero estimated coefficients at lambda.min
predict(cvfit, type = "nonzero", s="lambda.min")
# plot interaction effect for X4 and the true interaction effect also
plotInter(cvfit$sail.fit, x = sailsim$x, xvar = "X3",
f.truth = sailsim$f4.inter,
s = cvfit$lambda.min,
title_z = "Estimated")

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