WeightIt
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WeightIt: an R package for propensity score weighting
I was reading through the vignette, and I still have not figured out, what these weights exactly mean. I used to run the code with the lalonde dataset and when...
Hi @ngreifer! Thanks so much for a wonderful package and seamless implementation of matching packages. I'm running some robustness checks on an analysis using "ebal" method and I'm getting slightly...
Hi, firstly, thank you for building and maintaining this package. Want you to know that I really appreciate your contributions. I've been recently running into an issue trying to port...
Using entropy balancing, method = ebal, when sample sizes are relatively small, entropy balancing will fail. In order to handle this, the convergence tolerance level in optim()needs to be raised...
I tried to use SuperLearner with WeightIt using this code and everything worked just fine with Sl.glm, but ridge led to some errors. ` W.out
Hello again! ```test_weights_three_arm
Hi @ngreifer, Thank you for your hard work on developing this package. I'm trying to understand how weights are combined when using the `by =` argument. I'm running the `lalonde`...
Hi Noah many thanks for maintaining this package, very grateful it exists. I have a question regarding MSMs and ATE/ATT and the current functionality of WeightItMSM. The reference material on...
Hey @ngreifer , First off, kudos on an excellent suite of packages. Had some discussions w/ my colleagues the other day and we could not figure out what `weightit(by =...
Hello, thanks for the great package. I've run into an error when calculating weights for continuous treatment and provided propensity scores (`ps`) ``` data("lalonde", package = "cobalt") W.out.c