ltmle
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joshuaschwab
Longitudinal Targeted Maximum Likelihood Estimation package
Hi, I'm having an issue with binary outcomes. From the source, and discussions in other places, it appears that in order to handle continuous outcomes, the program transforms them into...
Hi, I am working a causal inference problem with longitudinal data, and I find this interesting package and hope to use it in my data analysis. I have a lot...
If `SuperLearner` is used to estimate nuisance parameters, `ltmle` first creates a design matrix based on `Qform` and `gform` that is subsequently passed to `SuperLearner` via the `X` option. However,...
Hi, I tried to estimate the AverageTreatmentEffect with 'ltmle' using solely SL.library="SL.glmnet" for the LASSO for variable selection which results in: Error in lognet(x,is.sparse, ix, jx, y, weights, offset, alpha,...
``` checking examples ... ERROR Running examples in ‘ltmle-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: deterministic.g.function_template > ### Title: Deterministic...
I think it is when there is only one `Anode`, and the array created by concatenating results of the rule functions together gets a dimension dropped. Not so minimal example:...
Hi Josh, 1) Is the weight truncation (on predicted g) performed _separately_ for each type of AC node or is it being applied to the joint probability of all interventions...
ltmle() takes too much time to run for end of follow-up time-point survival on a static regime (no SuperLearner). Full data run takes about 80min and 20GB of RAM. It...
We are using LTMLE for an analysis with 4 periods (quarters). We're trying to peep at the inner workings - from my understanding, LTMLE provides propensity scores, allowing us to...
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Longitudinal Targeted Maximum Likelihood Estimation package