-
-
To provide one way for users who definitely want overparametrized dummy coding to just do
```
C(myfactor, DummyDammit)
```
or whatever.
[Request from Josef, talked over at PyCon]
-
Hello,
I am experiencing an issue with the `Scissor` function in Seurat while analyzing single-cell RNA-seq data. I am trying to integrate my Seurat object with Scissor for further analysis, but I …
-
Hi,
many thanks for implementing this easy to use and flexible package. I have a short question regarding the implementation of the partial likelihood function of deepsurv (`cox_ph_loss_sorted`). I…
-
Not sure if this branches too far from the intended purpose of the package, but boosted conditional logit models as described in "Shi, H., Yin, G., Boosting conditional logit model". R package locate…
-
It is interesting and exciting to see exclusivelasso package. It is helpful for the variable selection. I am a clinic researchers. Cox model is common and important to analyze the variable related to …
-
Here are some ideas which could use some discussion and careful consideration. It extends the current model specification: https://lindeloev.github.io/mcp/articles/formulas.html
In the order from "…
-
# Phase 1: MVP Package
Develop a minimal package with the most important functions.
Use this guide: https://py-pkgs.org/03-how-to-package-a-python
## Priority 1 - Core Data and Data Frame Op…
-
This is currently broken in the latest GitHub versions, which are required since CRAN versions of mlr3 and mlr3mbo are not compatible if I remember correctly, as I'm getting:
```
Learner (surv.xgb…
-
Can this library only use Gaussian distribution as prior distribution? Are there other prior distributions?
Another question is that if the input data and the prior distribution are Gaussian distrib…