Closed olli0601 closed 1 year ago
Ohhh, I found the explanation for the OMP issues, https://stackoverflow.com/questions/53014306/error-15-initializing-libiomp5-dylib-but-found-libiomp5-dylib-already-initial
The Intel MKL functions (e.g. FFT, LAPACK, BLAS) are threaded with the OpenMP technology.
But on macOS you do not need MKL, because the Accelerate Framework comes with its own optimization algorithms and already uses OpenMP. That is the reason for the error message: OMP Error #15: ...
Workaround:
You should install all packages without MKL support:
conda install nomkl
Hi @ShozenD
It can be tricky to install Hmisc as installation runs into OMP support issues. I believe we only use binconf. Could you replace all instances with prop.test from the basic stats package?
https://stackoverflow.com/questions/21719578/confidence-interval-for-binomial-data-in-r
Huge thanks!!
olli