mediation
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kosukeimai
R package mediation
Hello, Thank you for developing such a great package. It is highly useful in implementing many different kinds of mediation analyses, and I'm getting a lot of help for my...
At present, summary(mediation(...)) produces output like this: ``` Causal Mediation Analysis Quasi-Bayesian Confidence Intervals Estimate 95% CI Lower 95% CI Upper p-value ACME 0.1477 0.0237 0.28 0.018 * ADE 0.2998...
Hello, I am trying to run the mediate function using a mediator model of class "lmer" (from lme4) and an outcome model of class "gamm", due to nested random effects....
Hello, thank you for making this great package! I have a dataset with missing values so I am using the mediations() and amelidiate() functions. At the same time, I would...
Hi there, thanks for the package. It is insightful and helpful. My outcome variable has different characteristics for the bottom and upper quantiles. Unfortunately, **multimed** function doesn't have **_tau.y_** argument...
Mediate returns NaNs for the CIs if I run a model with ordered outcomes and the bca option. Here a reproducible example: ``` library(mediate) library(MASS) dv
Hello, I'm running a mediation analysis and trying to increase the number of simulations, but I run into an error when my number of simulations reaches n ~= 700. ```...
I believe there must be an error which is causing the sign of the reported `ACME` effect to change depending on the contrast coding matrix for `X`, when both X->M...
Hi! I love the package, thanks for it (and the theoretical work underlying it) Is it possible to extract a standard path diagram from the output of `mediation()`? I believe...
Hi! Thank you very much for providing the mediation package to R, I really enjoy working with it! I was wondering, however, if it is somehow possible to extend the...
