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## Summary
I think it would be useful to add a measure reporting how many ROI have "all zero" timeseries - I guess for each parcellation.
## Additional details
It important to know whether there…
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Original email:
I’m just pulling some descriptives together quickly and I noticed there’s an error in how the RCADS items (awb2_1_illhealth_1: awb2_1_illhealth_25) have been coded calculated for 2023…
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I think it would be quite natural to add an option to `SplineTransformer` to accept inputs with missing values as follows:
- `handle_missing="error"` the default (keep current behavior)
- `handle_…
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### Describe the workflow you want to enable
I am often using random datasets (typically with make_classification). However I often find myself having to add more realistic features to the dataset:
…
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Currently "no line" is drawn for these y=0 scores
Could potentially also review what is done for "missingness"
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The margins() function returns an error when a `svyglm` object has omitted observations from the original data due to missingness. It appears to have trouble reconciling the number of rows in the orig…
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Hi,
It is just a naive idea. According to the paper, you describe that scATAC-seq has the issue of "missingness" like the dropout in scRNA-seq data. So what if using a zero-inflated Bernoulli to char…
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As discussed with @dicook, The aim with this is provide a ricer overall summary of missingness, providing information on:
- number of obs
- number of variables
- number of missing values
- prop …
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I noticed that different classes of `NA` were treated differently on a round trip:
``` r
library(V8)
ct NULL
ct$assign("na_char", NA_character_)
ct$get("na_char")
#> NULL
## Real, intege…
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I included 61 variables in the algorithm I submitted to the first leaderboard, before cleaning the variables to form 36 predictors. I chose them in a way that is mostly based on intuition.
[PreFer_…