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@@ -14,7 +14,7 @@ MetaSTAAR is an R package for performing Meta-analysis of variant-Set Test for A
For optimal computational performance, it is recommended to use an R version configured with the Intel Math Kernel Library (or other fast BLAS/LAPACK libraries). See the <ahref="https://software.intel.com/en-us/articles/using-intel-mkl-with-r">instructions</a> on building R with Intel MKL.
## Dependencies
MetaSTAAR links to R packages <ahref="https://cran.r-project.org/web/packages/Rcpp/index.html">Rcpp</a>, <ahref="https://cran.r-project.org/web/packages/RcppArmadillo/index.html">RcppArmadillo</a> and <ahref="https://https://github.com/xihaoli/STAAR">STAAR</a>, and also imports R packages <ahref="https://cran.r-project.org/web/packages/Rcpp/index.html">Rcpp</a>, <ahref="https://https://github.com/xihaoli/STAAR">STAAR</a>, <ahref="https://cran.r-project.org/web/packages/Matrix/index.html">Matrix</a>, <ahref="https://cran.r-project.org/web/packages/dplyr/index.html">dplyr</a>, <ahref="https://cran.r-project.org/web/packages/expm/index.html">expm</a>, <ahref="https://cran.r-project.org/web/packages/MASS/index.html">MASS</a>. These dependencies should be installed before installing MetaSTAAR.
MetaSTAAR links to R packages <ahref="https://cran.r-project.org/web/packages/Rcpp/index.html">Rcpp</a>, <ahref="https://cran.r-project.org/web/packages/RcppArmadillo/index.html">RcppArmadillo</a> and <ahref="https://github.com/xihaoli/STAAR">STAAR</a>, and also imports R packages <ahref="https://cran.r-project.org/web/packages/Rcpp/index.html">Rcpp</a>, <ahref="https://github.com/xihaoli/STAAR">STAAR</a>, <ahref="https://cran.r-project.org/web/packages/Matrix/index.html">Matrix</a>, <ahref="https://cran.r-project.org/web/packages/dplyr/index.html">dplyr</a>, <ahref="https://cran.r-project.org/web/packages/expm/index.html">expm</a>, <ahref="https://cran.r-project.org/web/packages/MASS/index.html">MASS</a>. These dependencies should be installed before installing MetaSTAAR.
