Print the cv.ptLasso object.
print.cv.ptLasso.RdPrint the cv.ptLasso object.
Usage
# S3 method for class 'cv.ptLasso'
print(x, ...)Examples
out = gaussian.example.data()
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 group_3 group_4 group_5
#> Overall 685.1 685.1 685.1 665.6 543.7 555.4 646.8 1014.1
#> Pretrain 0.0 555.3 555.3 555.3 530.0 516.4 603.9 543.7 582.3
#> Pretrain 0.1 521.9 521.9 521.9 499.5 492.5 560.5 517.9 539.0
#> Pretrain 0.2 526.3 526.3 526.3 489.2 484.7 584.2 511.8 561.8
#> Pretrain 0.3 514.2 514.2 514.2 485.8 500.8 531.1 523.8 529.4
#> Pretrain 0.4 519.8 519.8 519.8 467.7 487.7 570.6 505.2 567.7
#> Pretrain 0.5 522.9 522.9 522.9 465.3 499.8 567.7 517.4 564.3
#> Pretrain 0.6 518.0 518.0 518.0 459.9 504.8 563.9 515.7 545.7
#> Pretrain 0.7 545.7 545.7 545.7 479.2 552.6 601.5 553.7 541.2
#> Pretrain 0.8 545.6 545.6 545.6 500.8 539.2 584.8 536.7 566.7
#> Pretrain 0.9 538.9 538.9 538.9 516.5 535.4 571.6 515.7 555.1
#> Pretrain 1.0 579.8 579.8 579.8 554.9 587.5 638.8 541.7 575.9
#> Individual 579.8 579.8 579.8 554.9 587.5 638.8 541.7 575.9
#>
#> alphahat (fixed) = 0.3
#> alphahat (varying):
#> group_1 group_2 group_3 group_4 group_5
#> 0.6 0.2 0.3 0.4 0.3