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Merge pull request #5 from kapsner/main
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merge latest upstream changes
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kapsner committed Sep 7, 2023
2 parents 160053d + 7752820 commit 6b0e337
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2 changes: 2 additions & 0 deletions .Rbuildignore
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^misc$
^cran-comments\.md$
^vignettes/articles$
^tests$
^CRAN-SUBMISSION$
2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: survex
Title: Explainable Machine Learning in Survival Analysis
Version: 1.1.1.9001
Version: 1.1.3.9001
Authors@R:
c(
person("Mikołaj", "Spytek", email = "mikolajspytek@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7111-2286")),
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2 changes: 1 addition & 1 deletion NEWS.md
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# survex 1.1.0
# survex 1.1.3

* fixed not being able to plot or print SurvLIME results for the cph model sometimes. ([#72](https://github.com/ModelOriented/survex/issues/72))
* added global explanations via the SurvSHAP(t) method (see `model_survshap()` function)
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7 changes: 1 addition & 6 deletions README.md
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Expand Up @@ -20,12 +20,6 @@ Note that an explainer can be created for **any** survival model, using the `exp

## Installation

```diff
! Please note that that version v1.1.1 with new functionalities is still being processed by CRAN.
+ To use all functionalities, for the time being, please install the most current version from GitHub!
```


The package is available on [CRAN](https://cran.r-project.org/package=survex):

```r
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- H. Baniecki, B. Sobieski, P. Bombiński, P. Szatkowski, P. Biecek. [Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics](https://arxiv.org/abs/2303.09817). *International Conference on Artificial Intelligence in Medicine*, 2023.
- W. Chen, B. Zhou, C. Y. Jeon, F. Xie, Y-C. Lin, R. K. Butler, Y. Zhou, T. Q. Luong, E. Lustigova, J. R. Pisegna, B. U. Wu. [Machine learning versus regression for prediction of sporadic pancreatic cancer](https://doi.org/10.1016/j.pan.2023.04.009). *Pancreatology*, 2023.
- M. Nachit, Y. Horsmans, R. M. Summers, I. A. Leclercq, P. J. Pickhardt. [AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults](https://doi.org/10.1148/radiol.222008). *Radiology*, 2023.
- R. Passera, S. Zompi, J. Gill, A. Busca. [Explainable Machine Learning (XAI) for Survival in Bone Marrow Transplantation Trials: A Technical Report](https://doi.org/10.3390/biomedinformatics3030048). *BioMedInformatics*, 2023.
- Share it with us!

## Related work
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23 changes: 4 additions & 19 deletions cran-comments.md
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## Resubmission 30/08/2023 v.1.1.1
## Resubmission 05/09/2023 v.1.1.3

* Fix notes about long running examples by wrapping
in \donttest{} blocks.
* Previous submission (v.1.1.0) also had the following
notes from `r-devel-linux-x86_64-debian-gcc` flavor
check:
- Running R code in 'testthat.R' had CPU time
7.6 times elapsed time
- Re-building vignettes had CPU time
10.8 times elapsed time
I could not replicate these in any other environment:
- locally using R CMD Check (Windows),
- on r_hub (Windows, macos, and linux)
- using R CMD Check in GitHub Actions runners
(Windows, Ubuntu, macos)
- using `devtools::check_win_devel()` and
`check_macos_release()`
I believe these to be false positives likely due to
hardware or current load at the time of the check
in case they are not, please provide advice how to fix.

* Fix notes about CPU time being much longer than elapsed
time when running tests and building vignettes.

## R CMD check results

0 errors | 0 warnings | 1 note
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