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Table 1 Model parameters for the GLMM testing the effects of the environment on the learning rate and success rate. Environment and night as fixed effects, with a random effect of the individual bats, link function with identity

From: Fruit bats adjust their decision-making process according to environmental dynamics

Alpha

AIC

BIC

LogLikelihood

Deviance

    

 − 23.08

 − 8.08

17.538

 − 35.076

    

Fixed effects coefficients (95% CIs):

       

Name

Estimate

SE

tStat

DF

P value

Lower

Upper

Intercept

0.35

0.07

5.00

86

0.00

0.21

0.49

Volatile environment

 − 0.25

0.11

 − 2.21

86

0.03

 − 0.47

 − 0.02

Night (1 to 4)

 − 0.05

0.02

 − 2.67

86

0.01

 − 0.09

 − 0.01

Volatile environment: night

0.07

0.03

2.10

86

0.04

0.00

0.13

Success rate

AIC

BIC

LogLikelihood

Deviance

    

128.93

143.93

 − 58.46

116.93

    

Fixed effects coefficients (95% CIs):

       

Name

Estimate

SE

tStat

DF

P value

Lower

Upper

Intercept

 − 0.38

0.19

 − 2.00

86

0.05

 − 0.75

0.00

Stable environment

0.48

0.24

1.97

86

0.05

 − 0.01

0.96

Night (1 to 4)

0.05

0.06

0.91

86

0.36

 − 0.06

0.17

Stable environment: night

0.09

0.08

1.19

86

0.24

 − 0.06

0.24