CMAverse
CMAverse copied to clipboard
BS1125
A suite of functions for reproducible causal mediation analyses
Hi! I noticed that in the reference part, you mentioned about the paper: Mediation analysis with time varying exposures and mediators. Can this package be applied on time vary mediators...
First, thanks for working on the package and making it publicly available. I am using your package "CMAverse" to perform a single mediator analysis in the Nationally representative survey- NHANES....
Hello, I have been running into this weird issue where the error I am receiving does not seem to make sense. The mediator is class numeric-- it is not in...
Thank you very much for providing this valuable package. I have a continuous treatment variable, namely BMI. How should I define the treatment and control values? For example, in the...
Hello, I'm currently using the CMAverse package for mediation analysis and have encountered a challenge with implementing conditional logistic regression in the _cmest_ function. My understanding is that the _cmest_...
I am conducting a mediation analysis on data where y is binary, mediator is continuous, and exposure is binary. Because of missing data, I specify estimation = "imputation", inference =...
I would like to perform a mediation analysis with a binary value of y, where y=1 is data for 2000 subjects and y=0 is data for 8000 subjects. If I...
Hello, are any of the models able to accomodate multiple timepoints for the exposure, mediator, and outcome?
I am making a multiple mediation analysis( include 4 independent medaitors) and want to obatain path-specific effect of each of medaitors. But there is no available method in the `CMAverse`...
# Description Addresses bug noted in #35 , which allows estimation of causal effects from both rb, and gformula models using `estimation = "imputation"` from `cmest()` and `cmsens()`. # Changes...
