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Hi,
I tried to use *projpred* after multiple imputation using the *mice* package. It did not produce results as expected (see [here](https://discourse.mc-stan.org/t/projpred-interpretation/25808/4)…
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Hello! Thank you for sharing your code with us and the very detailed Wiki to walk us through the setup process.
I wanted to ask, how do I acquire the imputed matrices from the Fast-Higashi? I know…
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It seems to me that your MiceImputer only uses complete cases to train the SingleImputers but from what I red about MICE imputation it should not be the case:
>Step 1: A simple imputation, such as …
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Bug to fix: `rf_pred` option
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When generating a matrix of features for RIVER, how do the developers handle situations where no variant near a particular gene has a CADD annotation for features like TFBS or EncOCCombPVal? glmnet ca…
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In package specification there is defined that for impute_rhd when pool value is "complete" and "a record has multiple missings, all imputations are taken from a single donor", while it does not apply…
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> Other diagnostics that are informative but not strictly necessary for validation are link & xmap type flags -- i.e. `recode`, `split` and `collapse`
_Originally posted by @cynthiahqy in https://g…
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Hello. I tested GSimp with my own dataset using parallel mode. Imputations went fine except I noticed the gibbs_res slot was empty:
```
str (data.imputed$gibbs_res)
logi[1:3, 0 , 1:2000]
- at…
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Hi there,
I'm interested in trying out this library for a specific problem I'm dealing with. However, at this moment it is unclear to me if a model can be trained to predict missing values in more …
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Using version 1.0, I do not get Chi-Sq values when data type is imputed files. I traced the code and it is using the section headers for MI analysis type, where MPlus makes the imputations. The header…