### Mediator model

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

Coefficients:
            Estimate Std. Error z value Pr(>|z|)
(Intercept)  0.08577    0.38245   0.224    0.823
trt         -0.08577    0.24091  -0.356    0.722

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 382.49  on 275  degrees of freedom
Residual deviance: 382.36  on 274  degrees of freedom
AIC: 386.36

Number of Fisher Scoring iterations: 3

### Outcome model

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

Coefficients:
            Estimate Std. Error z value Pr(>|z|)    
(Intercept) -1.75416    0.33415  -5.250 1.52e-07 ***
trt         -0.01091    0.18155  -0.060    0.952    
bili_bin     0.89055    0.21228   4.195 2.73e-05 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for poisson family taken to be 1)

    Null deviance: 198.14  on 275  degrees of freedom
Residual deviance: 183.54  on 273  degrees of freedom
AIC: 349.54

Number of Fisher Scoring iterations: 6

### Mediation analysis 
             est         se           Z         p      lower      upper
cde  -0.01309265 0.21786138 -0.06009626 0.9520790 -0.4400931 0.41390781
pnde -0.01309265 0.21786138 -0.06009626 0.9520790 -0.4400931 0.41390781
tnie -0.02176021 0.06145733 -0.35407013 0.7232863 -0.1422144 0.09869396
tnde -0.01309265 0.21786138 -0.06009626 0.9520790 -0.4400931 0.41390781
pnie -0.02176021 0.06145733 -0.35407013 0.7232863 -0.1422144 0.09869396
te   -0.03485286 0.22621504 -0.15406959 0.8775549 -0.4782262 0.40852048
pm    0.62025196 4.00121652  0.15501584 0.8768088 -7.2219883 8.46249222
      exp(est) exp(lower) exp(upper)
cde  0.9869927  0.6439765   1.512718
pnde 0.9869927  0.6439765   1.512718
tnie 0.9784748  0.8674353   1.103728
tnde 0.9869927  0.6439765   1.512718
pnie 0.9784748  0.8674353   1.103728
te   0.9657475  0.6198820   1.504590
pm          NA         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.