diff --git a/CHANGELOG.md b/CHANGELOG.md
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,6 +5,11 @@
 ## Unreleased changes
 
 
+## 0.1.0.5
+
+-   Tooling updates.
+
+
 ## 0.1.0.4
 
 -   Graphical lasso (for now only re-export from `glasso` library).
diff --git a/LICENSE b/LICENSE
--- a/LICENSE
+++ b/LICENSE
@@ -652,7 +652,7 @@
   If the program does terminal interaction, make it output a short
 notice like this when it starts in an interactive mode:
 
-    <program>  Copyright (C) <year>  <name of author>
+    <program>  Copyright (C) 2021  Dominik Schrempf
     This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
     This is free software, and you are welcome to redistribute it
     under certain conditions; type `show c' for details.
diff --git a/covariance.cabal b/covariance.cabal
--- a/covariance.cabal
+++ b/covariance.cabal
@@ -1,6 +1,6 @@
-cabal-version:      2.4
+cabal-version:      3.0
 name:               covariance
-version:            0.1.0.5
+version:            0.1.0.6
 synopsis:
     Well-conditioned estimation of large-dimensional covariance matrices
 
diff --git a/src/Statistics/Covariance/GraphicalLasso.hs b/src/Statistics/Covariance/GraphicalLasso.hs
--- a/src/Statistics/Covariance/GraphicalLasso.hs
+++ b/src/Statistics/Covariance/GraphicalLasso.hs
@@ -53,8 +53,8 @@
   | n < 2 = Left "graphicalLasso: Need more than one sample."
   | p < 1 = Left "graphicalLasso: Need at least one parameter."
   | otherwise =
-    Right $
-      bimap convert convert $ glasso p (L.flatten $ L.unSym sigma) l
+      Right $
+        bimap convert convert $ glasso p (L.flatten $ L.unSym sigma) l
   where
     n = L.rows xs
     p = L.cols xs
diff --git a/src/Statistics/Covariance/Internal/Tools.hs b/src/Statistics/Covariance/Internal/Tools.hs
--- a/src/Statistics/Covariance/Internal/Tools.hs
+++ b/src/Statistics/Covariance/Internal/Tools.hs
@@ -47,9 +47,9 @@
   | mu < 0.0 = error "shrinkWith: Bug! Scaling factor of identity matrix is negative."
   | rho == 1.0 = L.trustSym $ L.scale mu (L.unSym im)
   | otherwise =
-    L.trustSym $
-      L.scale (1.0 - rho) (L.unSym sigma)
-        + L.scale (rho * mu) (L.unSym im)
+      L.trustSym $
+        L.scale (1.0 - rho) (L.unSym sigma)
+          + L.scale (rho * mu) (L.unSym im)
 
 -- Trace of a matrix.
 trace :: L.Matrix Double -> Double
diff --git a/src/Statistics/Covariance/OracleApproximatingShrinkage.hs b/src/Statistics/Covariance/OracleApproximatingShrinkage.hs
--- a/src/Statistics/Covariance/OracleApproximatingShrinkage.hs
+++ b/src/Statistics/Covariance/OracleApproximatingShrinkage.hs
@@ -55,7 +55,7 @@
     n' = fromIntegral n
     p' = fromIntegral p
     rhoNominator = tr2S - recip p' * trS2
-    rhoDenominator = (n' - 1 / p') * ( trS2 - recip p' * tr2S)
+    rhoDenominator = (n' - 1 / p') * (trS2 - recip p' * tr2S)
     rho' = rhoNominator / rhoDenominator
     rho = min rho' 1.0
     -- Scaling factor of the identity matrix (Equation 3).