The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

MixMatrix 0.2.7

• Fix Doxygen update to _PACKAGE issue
• Fix names in DESCRIPTION
• Fix “if (class(x) == …)” issue.

MixMatrix 0.2.6

• Update to fix M_PI issue with Rcpp update.
• Fix some non-HTTPS URLs.

MixMatrix 0.2.5

• Update with DOI for associated paper.
• Fix an issue with AR(1) and CS covariances. The way these are specified means that in case of mis-specification, they may be non-monotonic if they are mis-specified and results are near the the boundary. The functions were written such that it would not stop in this case.

MixMatrix 0.2.4

• Fixed a minor bug in DF calculation for mixture models.
• Fixed a minor bug in log likelihood calculation for mixture models.

MixMatrix 0.2.2

• Added more citations and references.
• Added reference to the paper this package accompanies.
• A small series of bug fixes and internal function updates to more easily support restrictions on means and variances different functions.

MixMatrix 0.2.1

• Added a number of citations and references to manuals and vignettes, including clarifying sources of any other functions.
• Added logLik functions for LDA, QDA, and MixMatrix objects

MixMatrix 0.2.0

• Start to add mixture modeling - currently support unconstrained variances only and fixed nu parameters for the model = "t" option..
• Remove list support for matrix LDA and QDA, since they were just a pain to support for the predict methods.

MixMatrix 0.1.0

• Preparing for CRAN submission
• Add pkgdown (https://gzt.github.io/MixMatrix/)
• Add ORCID
• Minor documentation changes
• Fix nu bug for matrixlda and matrixqda when using normal distribution
• Add vignette for t distribution

MixMatrix 0.0.0.9949

• changing name to MixMatrix

matrixdist 0.0.0.9927

• include EM algorithm (actually an ECME) for estimation of parameters of matrix-variate t-distributions
• include variance specifications for EM for t distribution
• include the possibility of restricting covariance matrices to a correlation structure.

matrixdist 0.0.0.9926

• split Wishart functions into CholWishart package
• migrate some internal functions to RcppArmadillo to improve speed
• add support for multiple observation input to dmatrixnorm function
• add support for multiple observation input to dmatrixt and dmatrixinvt
• dmatrix function now have large components in C++
• add error checking to dmatrixinvt - density only defined when matrix is positive definite
• improve speed of MLmatrixnorm by migrating more to C++ and fixing some R bottlenecks

matrixdist 0.0.0.9925

• add multivariate digamma
• add a couple tests for matrixt
• new plan: add fitting for t-distribution, LDA for t-distribution

matrixdist 0.0.0.9924

• Wrote density functions for the Wishart and InvWishart distributions. Broke the Wishart functions and mvgamma functions into a separate file just for them as they are all related and I may break them into their own package.

matrixdist 0.0.0.9923

• Rewrote 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.

matrixdist 0.0.0.9922

• Added LDA and QDA functions with predict() methods. These functions are relatively fragile.
• Marked some functions as internal to clean up the NAMESPACE

matrixdist 0.0.0.9921

• Added support for using IID structure for covariance matrices
• correction on restricted means - only true if known variance

matrixdist 0.0.0.9920

• added change to mean estimation to account for restricted means
• added changes to documentation

matrixdist 0.0.0.9919

• Added a NEWS.md file to track changes to the package.
• Changed the name of the maximum likelihood parameter fitting function to MLmatrixnorm since mle.--- could be confused for a method.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.