better package description

DESCRIPTION

@@ -1,8 +1,10 @@
 Package: craze
 Type: Package
-Title: Reference 'fmlr' Implementation
+Title: Interface for 'fmlr'
 Version: 0.2-0
-Description: High-level, R-like interface for 'fmlr'.
+Description: High-level, R-like interface for 'fmlr'. This gives a more
+    traditional, R-like interface around 'fmlr' functions and methods. The
+    package name is a play on the German word 'fimmel'.
 License: BSL-1.0
 Depends:
     R (>= 3.6.0),

R/craze-package.r

@@ -1,7 +1,9 @@
 #' craze
 #' 
 #' @description
-#' High-level, R-like interface for fmlr.
+#' High-level, R-like interface for fmlr. This gives a more
+#' traditional, R-like interface around fmlr functions and methods. The
+#' package name is a play on the German word 'fimmel'.
 #' 
 #' @import fmlr
 #' @import methods

README.md

@@ -8,14 +8,18 @@
 
 High-level, R-like interface for [fmlr](https://github.com/fml-fam/fmlr). The package name is a play on the German word 'fimmel' (fml, fimmel, ...).
 
-The goal of the package is to give a move traditional R-like interface around fmlr functions and methods. It's basically just a shallow S4 wrapper. The canonical use case would be something like:
+The goal of the package is to give a more traditional, R-like interface around fmlr functions and methods. It's basically just a shallow S4 wrapper. The canonical use case would be something like:
 
 * build your matrix in R
-* convert to an fmlr object via `as_cpumat()`, `as_gpumat()`, or `as_mpimat()` depending on what you want (may require a copy)
-* convert to the craze `fmlmat` S4 object via `as_fmlmat()` (no copy)
+* convert to an fmlr object:
+    - the easy way: use `fmlmat()`
+    - the harder, more robust way:
+        - convert the R matrix to an fmlr object via `as_cpumat()`, `as_gpumat()`, or `as_mpimat()` (may require a copy)
+        - convert to a craze `fmlmat` object via `as_fmlmat()` (no copy)
 * call the desired linear algebra function(s)
 
 
+
 ## Installation
 
 You will need an installation of [fmlr](https://github.com/fml-fam/fmlr). See the [fmlr installation guide](https://fml-fam.github.io/fmlr/html/articles/01-installation.html) for more details.