API for MixMatrix
Classification with Matrix Variate Normal and t Distributions

Global functions
.col_vars Source code
.means_function Source code
.row_vars Source code
.sstep Source code
.var_parse_df Source code
.varparse Source code
ARgenerate Man page Source code
CSgenerate Man page Source code
MLmatrixnorm Man page Source code
MLmatrixt Man page Source code
MixMatrix Man page
MixMatrix-package Man page
allnumeric_stop Source code
ar_det Source code
cs_det Source code
cubeinv Source code
cubemult Source code
deriv_ar Source code
deriv_cs Source code
detsum Source code
dimcheck_stop Source code
dmat_inv_t_calc Source code
dmat_t_calc Source code
dmatnorm_calc Source code
dmatrixinvt Man page Source code
dmatrixnorm Man page Source code
dmatrixnorm.unroll Source code
dmatrixt Man page Source code
init_matrixmixture Man page Source code
inv_ar Source code
inv_cs Source code
logLik.MixMatrixModel Source code
logLik.matrixlda Source code
logLik.matrixqda Source code
matrixlda Man page Source code
matrixmixture Man page Source code
matrixqda Man page Source code
matrixtrace Source code
nobs.MixMatrixModel Source code
nobs.matrixlda Source code
nobs.matrixqda Source code
ones Source code
plot.MixMatrixModel Source code
posdefinvsqrt Source code
posdefsqrt Source code
predict.MixMatrixModel Source code
predict.matrixlda Man page Source code
predict.matrixqda Man page Source code
print.MixMatrixModel Source code
print.matrixlda Source code
print.matrixqda Source code
rmat_inv_t_calc Source code
rmatrixinvt Man page Source code
rmatrixnorm Man page Source code
rmatrixt Man page Source code
symm_check Source code
testsymmetric Source code
txax Source code
varderiv Source code
vardet Man page Source code
varinv Source code
varmatgenerate Source code
xatx Source code
MixMatrix documentation built on Oct. 1, 2024, 1:07 a.m.