updated documentation

README.md

@@ -1,12 +1,12 @@
 # Perform fast queries in R against a massive database of complete GWAS summary data
 
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-[![Lifecycle:
-experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
 [![R build status](https://github.com/MRCIEU/ieugwasr/workflows/R-CMD-check/badge.svg)](https://github.com/MRCIEU/ieugwasr/actions)
+[![CRAN status](https://www.r-pkg.org/badges/version/ieugwasr)](https://CRAN.R-project.org/package=ieugwasr)
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-The [IEU GWAS database](https://gwas.mrcieu.ac.uk/) comprises over 10,000 curated, QC'd and harmonised complete GWAS summary datasets and can be queried using an API. See [here](https://gwas-api.mrcieu.ac.uk/docs) for documentation on the API itself. This R package is a wrapper to make generic calls to the API, plus convenience functions for specific queries. 
+The [OpenGWAS database](https://gwas.mrcieu.ac.uk/) comprises over 50,000 curated, QC'd and harmonised complete GWAS summary datasets and can be queried using an API. See [here](https://api.opengwas.io/api/) for documentation on the API itself. This R package is a wrapper to make generic calls to the API, plus convenience functions for specific queries. 
 
 Methods currently implemented:
 
@@ -22,12 +22,18 @@ There are a few convenience functions also:
 - Perform LD clumping using the server, or locally
 - Obtain LD matrices for a list of SNPs using the server or locally (e.g. for fine mapping, colocalisation or Mendelian randomization)
 
-See https://github.com/MRCIEU/gwasglue for information about how to connect the genotype and LD data to other packages involving colocalisation, finemapping, visualisation and MR.
+See https://github.com/MRCIEU/gwasglue2 for information about how to connect the genotype and LD data to other packages involving colocalisation, finemapping, visualisation and MR.
 
 
 ## Installation
 
-You can install the developer version of ieugwasr with:
+Install from CRAN using:
+
+```r
+install.packages("ieugwasr")
+```
+
+or install the developer version of ieugwasr with:
 
 ``` r
 remotes::install_github("mrcieu/ieugwasr")