diff --git a/fastbayes.cabal b/fastbayes.cabal
--- a/fastbayes.cabal
+++ b/fastbayes.cabal
@@ -3,13 +3,13 @@
 
 -- The name of the package.
 name:                fastbayes
-version:             0.1.0.0
+version:             0.2.0.0
 
 -- A short (one-line) description of the package.
 synopsis:            Bayesian modeling algorithms accelerated for particular model structures
 
 -- A longer description of the package.
-description:         General-purpose sampling approaches like Gibbs sampling are very useful for models that have not been studied extensively. But for some cases, specialized algorithms are available because of the model's generality (/e.g./, linear regression) or niche popularity (/e.g./, Latent Dirichlet Allocation). This package is an effort to collect such algorithms in one place.
+description:         General-purpose sampling approaches like Gibbs sampling are very useful for models that have not been studied extensively. But for some cases, specialized algorithms are available because of the model's commonality (/e.g./, linear regression) or niche popularity (/e.g./, Latent Dirichlet Allocation). This package is an effort to collect such algorithms in one place.
 
 -- URL for the project homepage or repository.
 homepage:            https://github.com/cscherrer/fastbayes
@@ -36,11 +36,14 @@
   other-extensions:    UnicodeSyntax, BangPatterns
   
   -- Other library packages from which modules are imported.
-  build-depends:       base >=4.7 && <4.8, vector >=0.10 && <0.11, hmatrix >=0.16 && <0.17
+  build-depends:       base >=4.6 && <4.8, vector >=0.10 && <0.11, hmatrix >=0.16 && <0.17
   
   -- Directories containing source files.
   hs-source-dirs:      src
   
   -- Base language which the package is written in.
   default-language:    Haskell2010
-  
+
+source-repository head
+  type: git
+  location: git://github.com/cscherrer/fastbayes.git
diff --git a/src/Statistics/FastBayes/Linear.hs b/src/Statistics/FastBayes/Linear.hs
--- a/src/Statistics/FastBayes/Linear.hs
+++ b/src/Statistics/FastBayes/Linear.hs
@@ -25,7 +25,7 @@
   , response
   , priorPrecision        
   , noisePrecision        
-  , numEffectiveParameters
+  , effectiveNumParameters
   , logEvidence           
   , mapWeights            
   , hessian
@@ -41,9 +41,9 @@
   , response               :: Vector Double -- ^The response vector used for the fit
   , priorPrecision         :: Double        -- ^The precision (inverse variance) of the prior distribution, determined by maximizing the marginal likelihood
   , noisePrecision         :: Double        -- ^The precision (inverse variance) of the noise
-  , numEffectiveParameters :: Double        -- ^The number of effective parameters in the model
+  , effectiveNumParameters :: Double        -- ^The effective number of parameters in the model
   , logEvidence            :: Double        -- ^The log of the evidence, which is useful for model comparison (different features, same response)
-  , mapWeights             :: Vector Double -- ^The MAP (maximum a posteriori) values for the paramter weights
+  , mapWeights             :: Vector Double -- ^The MAP (maximum a posteriori) values for the parameter weights
   , hessian                :: Matrix Double -- ^The Hessian (matrix of second derivatives) for the posterior distribution
   }
   deriving Show