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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 arespecified means that in case of mis-specification, they may benon-monotonic if they are mis-specified and results are near the theboundary. The functions were written such that it would not stop in thiscase.
MixMatrix 0.2.4
- Fixed a minor bug in DF calculation for mixture models.
- Fixed a minor bug in log likelihood calculation for mixturemodels.
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 moreeasily support restrictions on means and variances differentfunctions.
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 MixMatrixobjects
MixMatrix 0.2.0
- Start to add mixture modeling - currently support unconstrainedvariances only and fixed
nu parameters for themodel = "t" option.. - Remove list support for matrix LDA and QDA, since they were just apain 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 formatrixlda andmatrixqda when using normal distribution - Add vignette fort distribution
MixMatrix 0.0.0.9949
- changing name to MixMatrix
matrixdist 0.0.0.9927
- include EM algorithm (actually an ECME) for estimation of parametersof matrix-variatet-distributions
- include variance specifications for EM for t distribution
- include the possibility of restricting covariance matrices to acorrelation structure.
matrixdist 0.0.0.9926
- split Wishart functions into CholWishart package
- migrate some internal functions to
RcppArmadillo toimprove speed - add support for multiple observation input to
dmatrixnorm function - add support for multiple observation input to
dmatrixtanddmatrixinvt - dmatrix function now have large components in C++
- add error checking to
dmatrixinvt - density onlydefined 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 fort-distribution
matrixdist 0.0.0.9924
- Wrote density functions for the Wishart and InvWishartdistributions. Broke the Wishart functions and
mvgammafunctions into a separate file just for them as they are all related andI may break them into their own package.
matrixdist 0.0.0.9923
- Rewrote
rInvCholWishart to fix a bug where it was notactually a Cholesky decomposition - while upper triangular,tcrossprod() was InvWishart, notcrossprod().The method is a little slower since it involves computingrInvWishart and then taking the Cholesky decomposition, butit 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 thepackage. - Changed the name of the maximum likelihood parameter fittingfunction to
MLmatrixnorm sincemle.--- couldbe confused for a method.
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