varimpact
varimpact copied to clipboard
ck37
Variable importance through targeted causal inference, with Alan Hubbard
Hi Chris, It seems that for me at least multicore parallelisation is not working with varimpact, but it might be I am doing something wrong. varimpact now seems to work...
Hi Chris, Can I ask one last question about interpretation of results? Let's assume a continuous outcome that is the average number of ice cream sold by a company per...
Hi Chris The plot does not seem to be working for numeric variables. I get: ``` vim$numeric_vims$results_by_level NULL ``` Not sure if there is a more efficient way to do...
> Hi. > > This is an friendly, semi-autogenerated, reminder that [`plan(multiprocess)`](https://future.futureverse.org/reference/multiprocess.html) of the [**future**](https://cran.r-project.org/package=future) package is _deprecated_ since **future** 1.20.0 (2020-11-03). It will eventually become _defunct_ and removed. The...
Hi, in the README, there's the following example: ```r library(RhpcBLASctl) # Detect the number of physical cores on this computer using RhpcBLASctl. cl = parallel::makeCluster(get_num_cores()) plan("cluster", workers = cl) …...
Add the option to get inference when data contain dependent repeated measures within cluster (id).
I believe I need to transform the continuous outcome estimates back to the original scale. Currently they're reported on the [0, 1] scale which is not ideal.
There seems to be an error with knn imputation when a row has multiple missing values (possibly all missing values or all except 1 missing values). We may need an...
Via Stephanie Leonard, if there is a single variable in our X we get an error: `Error: invalid 'type' (list) of argument` We should 1) give a warning or error...