logLik functions for LDA, QDA, and MixMatrix
objectsnu parameters for the
model = "t" option..predict methods.nu bug for matrixlda and
matrixqda when using normal distributionRcppArmadillo to
improve speeddmatrixnorm functiondmatrixt
and dmatrixinvtdmatrixinvt - density only
defined when matrix is positive definiteMLmatrixnorm by migrating more to C++
and fixing some R bottlenecksdigammamatrixtmvgamma
functions into a separate file just for them as they are all related and
I may break them into their own package.rInvCholWishart to fix a bug where it was not
actually a Cholesky decomposition - while upper triangular,
tcrossprod() was InvWishart, not crossprod().
The method is a little slower since it involves computing
rInvWishart and then taking the Cholesky decomposition, but
it is faster than doing it in R.predict() methods.
These functions are relatively fragile.NEWS.md file to track changes to the
package.MLmatrixnorm since mle.--- could
be confused for a method.
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