### Mediator model

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

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-1.0383  -1.0383  -0.9943   1.3232   1.3723  

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 + trt:bili_bin, family = binomial(link = "logit"), 
    data = data)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-1.0403  -1.0302  -0.5993   1.3210   1.9003  

Coefficients:
             Estimate Std. Error z value Pr(>|z|)  
(Intercept)  -1.45492    0.71027  -2.048   0.0405 *
trt          -0.08552    0.44824  -0.191   0.8487  
bili_bin      1.07293    0.89928   1.193   0.2328  
trt:bili_bin  0.11084    0.56832   0.195   0.8454  
---
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: 311.83  on 272  degrees of freedom
AIC: 319.83

Number of Fisher Scoring iterations: 4

### Mediation analysis 
              est        se           Z         p       lower      upper  exp(est) exp(lower) exp(upper)
cde   0.083584561 0.6251564  0.13370183 0.8936384  -1.1416995  1.3088687 1.0871771  0.3192759   3.701983
pnde -0.007697067 0.3372698 -0.02282169 0.9817925  -0.6687337  0.6533396 0.9923325  0.5123569   1.921949
tnie -0.041995693 0.1115443 -0.37649352 0.7065500  -0.2606184  0.1766270 0.9588739  0.7705749   1.193186
tnde -0.011410778 0.3341852 -0.03414507 0.9727615  -0.6664018  0.6435802 0.9886541  0.5135531   1.903283
pnie -0.038281981 0.1012869 -0.37795576 0.7054635  -0.2368007  0.1602368 0.9624415  0.7891485   1.173789
te   -0.049692759 0.3517444 -0.14127520 0.8876525  -0.7390991  0.6397136 0.9515217  0.4775439   1.895938
pm    0.841835955 5.8783246  0.14321019 0.8861242 -10.6794686 12.3631405        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 can vary over m_cde and c_cond values when interaction = TRUE.
