Comments (4)
Thanks SO much for the suggestion--this sounds like an easy fix and we'll try to implement it asap. Let us know if you have other comments or suggestions--we're actively working on the package.
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Thanks so much @bquistorff for the ticket! It's good to know it's very minor additional work to support Windows. Would it be possible for you to list your version of R, RTools, and the C++ compiler, so we can make sure to test the installation on our end?
I'm hesitant to simply reverse the symlinks, since we'd eventually like to add other bindings (python, etc.) and it'd be best if the core
directory was the C++ source of truth. For now I've uploaded a version of the package to releases/gradient-forest-alpha.tar.gz
without symlinks. This non-symlink version is also available as a branch, test/windows-support
.
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I was using Microsoft R Open 3.3.2 and RTools 3.4 (which has the C++ compiler I believe). I was also able to install from the tar.gz you posted. Great! On Windows, installation can then be done in one line with:
install.packages("https://raw.github.com/swager/gradient-forest/master/releases/gradient-forest-alpha.tar.gz", repos = NULL, type="source")
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I ended up removing the symlinks, and instead updated build_package.R
to copy in the relevant source files before building the package. Running devtools::install_github
will no longer work, but I've updated the README to suggest using the command above (thanks!)
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Related Issues (20)
- Add support for missing values on predictors features HOT 2
- ll_regression_forest slows down console in Rstudio HOT 2
- Getting negative values for test_calibration(tau.forest) HOT 1
- cross-fitted calibration test - Athey et.al. 2024 HOT 4
- Questions Regarding Causal Forest Variable Types and "test_calibration" Interpretation HOT 1
- Allow `Y.hat` input for `causal_survival_forest()`? HOT 7
- Variable importance () plot HOT 6
- Access to value of criterion for splits HOT 1
- best_linear_projection returns NaN values HOT 2
- ability to generate a dose-response (or causal) curve with GRF HOT 2
- vignette splitting question HOT 2
- Consider an OptimizedPredictionStrategy for survival forest
- Growing a CF - Prepare matrices HOT 1
- Standard errors calculation in average_treatment_effect() and best_linear_projection() HOT 4
- Is there a way to estimate the standard errors for a linear combination of the ATE across multiple arms? HOT 1
- BLP interpretation(binary and continuous variable) HOT 2
- Use `num.threads` in auxiliary forest training
- Using causal_forest() in diff-in-diff with fixed effects setting
- Two questions about using Causal Forest HOT 3
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