order_wrapper_fix

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: sparseinv
 Type: Package
 Title: Computation of the Sparse Inverse Subset
-Version: 0.1
-Date: 2018-01-13
+Version: 0.1.1
+Date: 2018-01-16
 Authors@R: c(
     person("Andrew", "Zammit-Mangion", , "[email protected]", c("aut", "cre")),
     person("Timothy", "Davis", , "[email protected]", role = "ctb"),
@@ -15,16 +15,17 @@ Suggests:
     testthat
 Imports:
     Matrix,
-	methods,
+    methods,
     spam
-Description: Creates a wrapper for the SuiteSparse routines 
-    that compute the Takahashi equations. These equations compute the
+Description: Creates a wrapper for the 'SuiteSparse' routines 
+    that execute the Takahashi equations. These equations compute the
     elements of the inverse of a sparse matrix at locations where the
-    (permuted) Cholesky factor is non-zero. The resulting matrix is
-    known as a sparse inverse subset. Some helper functions (like the
-    permuted Cholesky factorisation) are also implemented. Support for
-    spam matrices is currently limited and will be implemented in the future. 
-BugReports: http://github.com/andrewzm/sparseinv/issues
+    its Cholesky factor is non-zero. The resulting matrix is known as a 
+	sparse inverse subset. Some helper functions are also implemented. 
+	Support for spam matrices is currently limited and will be implemented 
+	in the future. See Rue and Martino (2007) <doi:10.1016/j.jspi.2006.07.016> 
+	and Zammit-Mangion and Rougier (2017) <arXiv:1707.00892> for the 
+	application of these equations to statistics.
 Depends:
     R (>= 3.1)
 License: GPL (>= 2)

R/fns.R

@@ -1,5 +1,5 @@
 # sparseinv: An R Software package for computing the sparse inverse subset with the Takahashi equations with large datasets.
-# Copyright (c) 2017 University of Wollongong
+# Copyright (c) 2017 Andrew Zammit-Mangion
 # Author: Andrew Zammit-Mangion, azm (at) uow.edu.au
 #
 # This program is free software; you can redistribute it and/or

R/sparseinv.R

@@ -1,5 +1,5 @@
 # sparseinv: An R Software package for computing the sparse inverse subset with the Takahashi equations with large datasets.
-# Copyright (c) 2017 University of Wollongong
+# Copyright (c) 2017 Andrew Zammit-Mangion
 # Author: Andrew Zammit-Mangion, azm (at) uow.edu.au
 #
 # This program is free software; you can redistribute it and/or

R/zzz.R

@@ -1,5 +1,5 @@
 # sparseinv: An R Software package for computing the sparse inverse subset with the Takahashi equations with large datasets.
-# Copyright (c) 2017 University of Wollongong
+# Copyright (c) 2017 Andrew Zammit-Mangion
 # Author: Andrew Zammit-Mangion, azm (at) uow.edu.au
 #
 # This program is free software; you can redistribute it and/or

src/amd_order_wrapper.c

@@ -12,5 +12,5 @@ GLOBAL void AMD_order_wrapper
 ) {
 amd_defaults (Control) ;		
 amd_order(*n,Ap,Ai,P,Control,Info);
-return(NULL);
-}
+return;
+}

src/sparseinv-init.c

@@ -1,5 +1,7 @@
-/*sparseinv: Computes the sparse inverse subset of a sparse precision matrix
- Copyright (c) 2017 University of Wollongong
+/*sparseinv: An R Software package for computing the sparse inverse subset 
+ with the Takahashi equations with large datasets.
+
+ Copyright (c) 2017 Andrew Zammit-Mangion
 Author: Andrew Zammit-Mangion, azm (at) uow.edu.au
 
 This program is free software; you can redistribute it and/or