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. 2023 Apr 17;39(5):btad200. doi: 10.1093/bioinformatics/btad200

Table 1.

Percentage of total deviance explained by the logit-linear and non-linear regression splines in Fig. 1.a

Deviance explained (%)
Source A B C D
Linear 97.242 96.40 99.438 99.896
Non-linear 2–3 2.732 2.32 0.328 0.029
Non-linear 4–5 0.026 1.28 0.234 0.075
a

The rows of the table show the percentage of the total deviance explained by the logit-linear curve and the additional deviance explained by logit splines with 3 or 5 df. The second row gives the additional deviance explained by df=3 over df=1 and the third row the additional deviance explained by df=5 over df=3. The logit-linear curve explains >96% of the deviance for all datasets.