Print the cv.ptLasso object.
Usage
# S3 method for class 'cv.ptLasso'
print(x, ...)Examples
out = gaussian.example.data(k=2, class.sizes = c(50, 50))
x = out$x; y=out$y; groups = out$group;
cvfit = cv.ptLasso(x, y, groups = groups, family = "gaussian", type.measure = "mse")
print(cvfit)
#>
#> Call:
#> cv.ptLasso(x = x, y = y, groups = groups, family = "gaussian",
#> type.measure = "mse", use.case = "inputGroups", group.intercepts = TRUE)
#>
#>
#>
#> type.measure: mse
#>
#>
#> alpha overall mean wtdMean group_1 group_2
#> Overall 515.5 515.5 515.5 513.8 517.1
#> Pretrain 0.0 511.6 511.6 511.6 558.8 464.4
#> Pretrain 0.1 509.6 509.6 509.6 548.2 471.1
#> Pretrain 0.2 460.2 460.2 460.2 530.1 390.4
#> Pretrain 0.3 438.7 438.7 438.7 496.9 380.5
#> Pretrain 0.4 464.2 464.2 464.2 484.2 444.2
#> Pretrain 0.5 400.0 400.0 400.0 377.8 422.2
#> Pretrain 0.6 417.8 417.8 417.8 440.6 395.1
#> Pretrain 0.7 402.8 402.8 402.8 408.3 397.2
#> Pretrain 0.8 413.6 413.6 413.6 395.5 431.7
#> Pretrain 0.9 444.5 444.5 444.5 461.4 427.6
#> Pretrain 1.0 465.1 465.1 465.1 462.7 467.4
#> Individual 465.1 465.1 465.1 462.7 467.4
#>
#> alphahat (fixed) = 0.5
#> alphahat (varying):
#> group_1 group_2
#> 0.5 0.3