### 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, family = binomial(link = "logit"), 
    data = data)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-1.0385  -1.0319  -0.6087   1.3230   1.8854  

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 0.0000129 ***
---
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) exp(lower) exp(upper)
cde  -0.01988166 0.33071517 -0.06011718 0.9520623 -0.6680715 0.6283082 0.9803147  0.5126964   1.874437
pnde -0.01988166 0.33071517 -0.06011718 0.9520623 -0.6680715 0.6283082 0.9803147  0.5126964   1.874437
tnie -0.02880160 0.08138271 -0.35390312 0.7234115 -0.1883088 0.1307056 0.9716092  0.8283589   1.139632
tnde -0.01988166 0.33071517 -0.06011718 0.9520623 -0.6680715 0.6283082 0.9803147  0.5126964   1.874437
pnie -0.02880160 0.08138271 -0.35390312 0.7234115 -0.1883088 0.1307056 0.9716092  0.8283589   1.139632
te   -0.04868326 0.34048521 -0.14298201 0.8863044 -0.7160220 0.6186555 0.9524828  0.4886924   1.856430
pm    0.58572232 0.04751795 12.32633737 0.0000000  0.4925888 0.6788558        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.
