Comments (6)
Don't know about this particular problem, but what I faced - applications which use Eigen take a lot of ram to compile. So I was not able to compile my packages on machine with 1gb of ram. Which is pity.
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Correct. The real issue are the Eigen (and Boost and ...) headers. But the principle holds: Michael's PPA has 3000+ packages so people who are stuck may be able to resort to binaries.
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We answered similar questions before, and also note you can get precompiled r-cran-rcppeigen from several places including the distribution itself (though possibly dated from the release) as well as current backports from Michael's PPA.
So I am closing this.
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@dselivanov thanks, this turned out to be the case
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As I said, you don't even need to as RcppEigen exists precompiled for that Ubuntu version.
And yes, C++ requires some RAM.
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@eddelbuettel but still even if you have binary installation and want to build pkg which rely on RcppEigen you will face same issue, won't you? I googled quite a bit, but didn't find any solution/workaround. So for now I stick to machines/containers with 2gb+ of ram (or using prebuild container images).
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Related Issues (20)
- Warning messages: 1: partial match of 'df' to 'df.residual' HOT 6
- Unable to install v0.3.3.9.3 (zero exis status, warning: ignoring attributes on template argument ‘__m128) HOT 4
- Can't install on arm64 (MacOS) HOT 1
- EIGEN_DEFAULT_TO_ROW_MAJOR and other flags HOT 3
- Runtime error causing R session to crash HOT 6
- Undefined symbol: RcppEigen_Eigen_SSE HOT 3
- Error while trying to create shinyproxy image HOT 1
- no member named 'Rlog1p' in namespace 'std' HOT 11
- (Rcpp)Eigen 3.4.0 would help with C++17 HOT 2
- Small DESCRIPTION issue HOT 1
- Why macros for GCC in DisableStupidWarnings.h are commented HOT 2
- Small inconsistency in the `lmBenchmark.R` file? HOT 4
- Lots of warnings During Compilation HOT 1
- Can not install RcppEigen, RcppEigen.h: No such file or directory HOT 7
- make fastLm use mutliple threads HOT 3
- Error installing RcppEigen HOT 4
- Map dgCmatrix as integer sparse matrix HOT 6
- RcppEigen Submatrix Views HOT 2
- setFromTriplets function gets segfault error HOT 5
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