Table 1.

Results of the GLMMs estimating the effect of fevers on sickness behavior, aggression received, and injury

Model	Estimate ± error fever (n/y)	Probability of direction % fever (n/y)	Estimate ± error sex (female/male)	Probability of direction % sex (female/male)	Model probability predictions*		R2 marginal	R2 conditional
					Febrile	Afebrile
Resting, SI Appendix, Table S1	0.08 ± 0.03	99.88	0.17 ± 0.04	100	0.35	0.32	0.41	0.59
Feeding, SI Appendix, Table S2	−0.17 ± 0.03	100	−0.06 ± 0.04	95.28	0.25	0.29	0.36	0.51
Traveling, SI Appendix, Table S3	0.07 ± 0.03	97.92	0.08 ± 0.04	98.52	0.26	0.24	0.34	0.43
Socializing, SI Appendix, Table S4	−0.04 ± 0.06	70.80	−0.88 ± 0.08	100	0.10	0.09	0.19	0.40
Grooming given, SI Appendix, Table S5	−0.02 ± 0.09	57.57	−1.47 ± 0.12	100	0.06	0.06	0.16	0.36
Grooming received, SI Appendix, Table S6	−0.02 ± 0.09	59.15	−0.37 ± 0.09	100	0.03	0.03	0.05	0.15
Aggression received, SI Appendix, Table S7	0.33 ± 0.12	99.68	−0.64 ± 0.40	94.86	0.02	0.01	0.01	0.16
Injured, SI Appendix, Table S8	1.99 ± 0.23	100	0.31 ± 0.33	83.28	0.03	0.005	0.003	0.03

^*Calculated for the reference sex category (females) using the following equations: 1) activity Poisson GLMMs: febrile probability = exponentiate (intercept estimate + fever estimate), afebrile probability = exponentiate (intercept estimate); and 2) aggression and injury Bernoulli GLMMs: febrile probability = inverse logit (intercept estimate + fever estimate), afebrile probability = inverse logit (intercept estimate).