### Mediator model

Call:
glm(formula = bili_bin ~ trt, family = binomial(link = "logit"), 
    data = data)

Coefficients:
            Estimate Std. Error z value Pr(>|z|)
(Intercept)  -0.2256     0.4620  -0.488    0.625
trt          -0.1108     0.2914  -0.380    0.704

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 264.30  on 195  degrees of freedom
Residual deviance: 264.15  on 194  degrees of freedom
AIC: 268.15

Number of Fisher Scoring iterations: 4

### Outcome model

Call:
glm(formula = spiders ~ trt + bili_bin, family = binomial(link = "logit"), 
    data = data)

Coefficients:
            Estimate Std. Error z value Pr(>|z|)    
(Intercept) -1.55900    0.47386  -3.290    0.001 ** 
trt         -0.01657    0.27560  -0.060    0.952    
bili_bin     1.23969    0.28418   4.362 1.29e-05 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 332.32  on 275  degrees of freedom
Residual deviance: 311.86  on 273  degrees of freedom
AIC: 317.86

Number of Fisher Scoring iterations: 4

### Mediation analysis 
             est        se           Z         p      lower     upper  exp(est)
cde  -0.01988166 0.3307152 -0.06011718 0.9520623 -0.6680715 0.6283082 0.9803147
pnde -0.01988166 0.3307152 -0.06011718 0.9520623 -0.6680715 0.6283082 0.9803147
tnie -0.03955566 0.1044293 -0.37877925 0.7048518 -0.2442334 0.1651221 0.9612165
tnde -0.01988166 0.3307152 -0.06011718 0.9520623 -0.6680715 0.6283082 0.9803147
pnie -0.03955566 0.1044293 -0.37877925 0.7048518 -0.2442334 0.1651221 0.9612165
te   -0.05943733 0.3466675 -0.17145342 0.8638673 -0.7388931 0.6200185 0.9422946
pm    0.65886514 3.8213951  0.17241482 0.8631114 -6.8309316 8.1486619        NA
     exp(lower) exp(upper)
cde   0.5126964   1.874437
pnde  0.5126964   1.874437
tnie  0.7833048   1.179537
tnde  0.5126964   1.874437
pnie  0.7833048   1.179537
te    0.4776423   1.858962
pm           NA         NA

Evaluated at:
avar: trt
 a1 (intervened value of avar) = 2.3
 a0 (reference value of avar)  = 1.1
mvar: bili_bin
 m_cde (intervend value of mvar for cde) = 1.4
cvar: 
 c_cond (covariate vector value) = 

Note that effect estimates do not vary over m_cde and c_cond values when interaction = FALSE.