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This package offers functionalities for computing multivariate normal
and Student-t probabilities. The meanings of this package: 1. Faster
implementation of the classic Genz algorithm (compared with
pmvnorm
and pmvt
functions) 2. Able to return
the results in the log2 form, which is useful when the true probability
is smaller than machine precision 3. Accepts both a matrix and a
geometry for building the covariance matrix 4. Implement the
tile-low-rank method with block reordering, which can compute problems
in tens of thousands dimensions 5. Provide the interface for users to
adjust the number of Monte Carlo sample size to make a balance between
accuracy and computation time specific to their applications.
For better performance, the package should be compiled with a proper optimization flag. To achieve this, you can do either of the following in the Makevars file under ~/.R directory:
The goal here is to override the default compiler options used by R. The default options are fine, just not the fastest.
After some installations on Mac OS, two issues may happen:
The explanation can be sought from: https://cran.r-project.org/bin/macosx/tools/
And the solution is:
If you are encountering the issue “C++14 standard requested but CXX14 is not defined”, one option is to append the Makevars.win file under the .R directory with:
CXX11FLAGS=-O3 -Wno-unused-variable -Wno-unused-function CXX14FLAGS=-O3 -Wno-unused-variable -Wno-unused-function CXX14 = \((BINPREF)g++ -m\)(WIN) -std=c++1y
Thanks to Robert Aue for providing this solution.
Then hopefully the installation works!
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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