### Mediator model

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

Deviance Residuals: 
   Min      1Q  Median      3Q     Max  
-1.177  -1.141  -1.141   1.177   1.214  

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 + 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   0.0835845607  0.62515643  0.133701833 0.8936384  -1.1416995  1.3088687 1.0871771  0.3192759   3.701983
pnde  0.0008150528  0.34818454  0.002340864 0.9981323  -0.6816141  0.6832442 1.0008154  0.5057999   1.980292
tnie -0.0303953379  0.08624914 -0.352413228 0.7245284  -0.1994405  0.1386499 0.9700620  0.8191889   1.148722
tnde -0.0016182609  0.34457142 -0.004696445 0.9962528  -0.6769658  0.6737293 0.9983830  0.5081565   1.961539
pnie -0.0279620242  0.07913539 -0.353344130 0.7238305  -0.1830645  0.1271405 0.9724253  0.8327144   1.135577
te   -0.0295802851  0.35561908 -0.083179690 0.9337087  -0.7265809  0.6674203 0.9708529  0.4835595   1.949202
pm    1.0279748540 12.27727341  0.083729898 0.9332712 -23.0350389 25.0909886        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.
