From 874e50a5b284995bdd2d2a52ea28dbf34531136e Mon Sep 17 00:00:00 2001 From: Max G Date: Sun, 18 Feb 2018 14:46:57 -0500 Subject: [PATCH] Fix minor typos in README --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 5fa4d7d..0f70bc1 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ The BGLR Julia package implements **Bayesian shrinkage and variable selection me The design is inspired on the BGLR R-package (BGLR-R). Over time we aim to implement a similar set of methods than the ones implelented in the R version. The R version is highly optimized with use of compiled C code; this gives BGLR-R a computational speed much higher than the one that can be obtained using R code only. -By developing BGLR for Julia (BGLR-Julia) wee seek to: (i) reach the comunity of Julia users, (ii) achieve a similar or better performance than the one achieved with BGLR-R (this is challenging because BGLR-R is highly optimized and makes intensive use of C and BLAS routines), (iii) enable users to use BGLR with memory-mapped arrays as well as RAM arrays, (iv) capitalize on some of multi-core computing capabilities offered by Julia. +By developing BGLR for Julia (BGLR-Julia) we seek to: (i) reach the community of Julia users, (ii) achieve a similar or better performance than the one achieved with BGLR-R (this is challenging because BGLR-R is highly optimized and makes intensive use of C and BLAS routines), (iii) enable users to use BGLR with memory-mapped arrays as well as RAM arrays, (iv) capitalize on some of multi-core computing capabilities offered by Julia. Funding of BGLR-R and BGLR-Julia was provided by NIH (R01 GM101219). @@ -24,7 +24,7 @@ Authors: Gustavo de los Campos (gustavoc@msu.edu) and Paulino Perez-Rodriguez ( #### Data sets -The examples presented below use either the wheat data sets provided with BGLR-R package. To get these data in the computing environment you can use the following code. +The examples presented below use either of the wheat data sets provided with BGLR-R package. To get these data in the computing environment you can use the following code. **Wheat data set** ```julia