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 543.1 543.1 543.1 477.2 609.0
#> Pretrain 0.0 520.0 520.0 520.0 507.3 532.6
#> Pretrain 0.1 503.9 503.9 503.9 511.5 496.2
#> Pretrain 0.2 468.4 468.4 468.4 449.4 487.4
#> Pretrain 0.3 500.0 500.0 500.0 543.7 456.3
#> Pretrain 0.4 476.7 476.7 476.7 427.1 526.3
#> Pretrain 0.5 456.6 456.6 456.6 439.6 473.6
#> Pretrain 0.6 436.9 436.9 436.9 420.5 453.3
#> Pretrain 0.7 434.7 434.7 434.7 386.6 482.8
#> Pretrain 0.8 474.2 474.2 474.2 421.3 527.1
#> Pretrain 0.9 478.9 478.9 478.9 406.4 551.4
#> Pretrain 1.0 469.7 469.7 469.7 411.4 528.0
#> Individual 469.7 469.7 469.7 411.4 528.0
#>
#> alphahat (fixed) = 0.7
#> alphahat (varying):
#> group_1 group_2
#> 0.7 0.6