ClusterR 1.0.3
- I updated the dissimilarity functions to accept data with missing values.
- I added an error exception in the predict_GMM() function in case that the determinant is equal to zero. The latter is possible if the data includes highly correlated variables or variables with low variance.
- I replaced all unsigned int's in the rcpp files with int data types
ClusterR 1.0.2
I modified the RcppArmadillo functions so that ClusterR passes the Windows and OSX OS package check results
ClusterR 1.0.1
I modified the RcppArmadillo functions so that ClusterR passes the Windows and OSX OS package check results
ClusterR 1.0.0