diff --git a/README.md b/README.md
index a37aa54..876806c 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,7 @@
 [![Build status (Github Actions)](https://github.com/projekter/StandardPacked.jl/workflows/CI/badge.svg)](https://github.com/projekter/StandardPacked.jl/actions)
 [![codecov.io](http://codecov.io/github/projekter/StandardPacked.jl/coverage.svg?branch=main)](http://codecov.io/github/projekter/StandardPacked.jl?branch=main)
 
-`StandardPacked` is a Julia package that wraps functions for storing symmetric matrices in their packed form, i.e.,
+`StandardPacked` is a Julia package that wraps functions for storing symmetric matrices in their standard packed form, i.e.,
 column-wise stacked upper or lower triangles. It also provides bindings for the corresponding LAPACK functions, which allow
 things such as eigendecompositions. Note that typically, the packed form requires a bit longer calculation times and is
 slightly more imprecise than the dense form; however, it requires less storage.
@@ -17,6 +17,6 @@ between the actual matrices.
 
 Note that neither of those formats correspond to the rectangular full packed format. The latter has the same favorable scaling
 with respect to memory, but additionally a better layout for some linear algebra routines, making it almost as fast as the
-dense format. However, index access is a bit weird there and it is not in wide use. Currently, this package does _not_ provide
-the RFP format (though it certainly could at some later time). Consider
+dense format. However, index access is a bit weird there and it is not in wide use; furthermore, there are far fewer LAPACK
+functions working with RFP. Consider
 [`RectangularFullPacked.jl`](https://github.com/JuliaLinearAlgebra/RectangularFullPacked.jl) instead.
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