Model deviance
Usage
# S3 method for class 'SLOPE'
deviance(object, ...)Value
For Gaussian models this is twice the residual sums of squares. For all other models, two times the negative loglikelihood is returned.
See also
Other SLOPE-methods:
coef.SLOPE(),
plot.SLOPE(),
predict.SLOPE(),
print.SLOPE(),
score()
Examples
fit <- SLOPE(heart$x, heart$y, family = "binomial")
deviance(fit)
#> [1] 1.3739232 1.2937213 1.2250313 1.1670221 1.1161942 1.0717583 1.0275800
#> [8] 0.9889880 0.9549637 0.9247657 0.8987407 0.8756350 0.8552501 0.8352811
#> [15] 0.8140560 0.7943376 0.7767137 0.7611074 0.7457175 0.7323982 0.7197023
#> [22] 0.7086136 0.6984955 0.6897198 0.6822010 0.6754331 0.6691962 0.6637329
#> [29] 0.6587840 0.6545040 0.6506893 0.6473829 0.6445254 0.6420727 0.6400310
#> [36] 0.6381618 0.6365580 0.6350098 0.6336419 0.6324513 0.6314431 0.6305687
#> [43] 0.6298194 0.6291763 0.6286303 0.6281727 0.6277802 0.6274314 0.6271389
#> [50] 0.6268910 0.6266718 0.6264895 0.6263366 0.6262057 0.6260965 0.6260051
#> [57] 0.6259285 0.6258649 0.6258109 0.6257664 0.6257289 0.6256976 0.6256716
#> [64] 0.6256498 0.6256316 0.6256165 0.6256039 0.6255934 0.6255846 0.6255774
#> [71] 0.6255713