Comments (3)
Ok, I stand corrected, this is in the documentation.
For binary response models, the ’mediator’ must be a numeric variable with values 0 or 1 as opposed to a factor.
I humbly suggest it also be included in the vignette as it is quite surprising, and the vignette includes binomial mediation examples
from mediation.
If the problem is that factors are not allowed because of the interpretability of removing the intercept then this could be a simple documentation fix.
from mediation.
Thanks for the comment. I spent more than two hours trying to solve the problem before I found this. I would like to say this comment worths at least four hours.
from mediation.
Related Issues (20)
- Multiple imputations with mediations and amelidiate functions
- Error in stats::model.frame when specifying an lm formula in a function argument, and boot = T HOT 9
- Error in Surv(time, event) : cannot find object "time" HOT 1
- mediate not compatible with lmerTest package HOT 1
- mediations cannot find "weights" HOT 1
- Precision of upper confidence bound HOT 3
- multiple imputation + moderated mediation HOT 1
- GAMM as a model class?
- Support for cluster-robust models (lm_robust from estimatr package) HOT 1
- Problems in ivmediate function
- Warnings/error with 'multimed' 'argument is not numeric or logical: returning NA'?
- upper CI is truncated to 2 decimal points, lower and point estimates aren't
- Resampling does not take place HOT 1
- Summary with ordinal outcome HOT 1
- meaiation analysis for continuous treatment HOT 1
- Can this packages be used to perform mediation analysis with cox PH model? HOT 1
- Error in offset(years.in.study) : object 'years.in.study' not found
- Could Package "mediate" support multi-categorical treatment? HOT 2
- Fitting an outcome model that is within subject (model.y, using lmer) and a simple model for the mediator (`model.m`, using lm)? HOT 1
- Conda Wheel
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from mediation.