Comments (7)
@mllg I saw the mail from CRAN. We are almost done and try to release a compatible version to CRAN today.
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- Thanks for the heads up. We are currently doing a larger refactoring and will then also pick up the reported change in
mlr3
. - Is there already a planned release date for
0.11.0
?
from doubleml-for-r.
* Is there already a planned release date for `0.11.0`?
The sooner, the better. R core changed some stuff in R-devel and is now pressuring me to upload a fixed version. I can also roll back this particular change for the next update, depending on how long your refactoring will take.
from doubleml-for-r.
* Is there already a planned release date for `0.11.0`?
The sooner, the better. R core changed some stuff in R-devel and is not pressuring me to upload a fixed version. I can also roll back this particular change for the next update, depending on how long your refactoring will take.
Understood, thanks for the explanation. Getting it done this week will be challenging, but we are optimistic to get the changes done and released next week.
So I don't see a reason for a roll-back and you can proceed with your release as planned more or less independent of us.
from doubleml-for-r.
Great, thanks!
from doubleml-for-r.
Done and released to CRAN in version 0.2.0
.
from doubleml-for-r.
Thanks! And sorry for breaking your package on short notice.
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Related Issues (20)
- Unit test for the extraction of predictions fails for non-glmnet learner HOT 1
- Support for Categorical D in PLIV HOT 1
- Support for ensemble multiple learners for ml_g and ml_m HOT 2
- Make DoubleML available for R (≥ 4.0.2) HOT 1
- Failing builds on github actions with development version of mlr3 HOT 2
- [Bug]: the result of Lasso learner is different from others
- [Bug]: Unable to perform ensemble learners HOT 2
- Depreciation warning when applying pkgdown
- [Bug]: Tuning with default `tune_settings` fails
- [Bug]: Tuning with default `tune_settings` fails
- Inconsistent initilization of `task_type` between PLIV and other models (PLR, IRM, IIVM) HOT 3
- [Bug]: Tuning fails with non-meaningful error message when `tune_settings$measure` real subset of the nuisance parts HOT 3
- [Unit Test Extension]: Implement "default setting unit tests"
- [CRAN]: Issue with html check HOT 1
- [API Documentation]: Include documentation for `store_models` option in `DoubleML$fit()`
- [Feature Request]: In IRM Model , allow for different learners for `g0` and `g1`
- [Feature Request]: Classification Learner for `ml_l` HOT 4
- Update workflows for deploy of docu
- [Bug]: `store_predictions=TRUE` in `fit()` does not save results with more than one treatment
- [Feature Request]: Observation weights HOT 1
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