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Minor Updates from previous version
Require that dependency package mvtnorm is at least v. 1.1-2.
Changed DESCRIPTION reference
Minor documentation edits
Recompile vignette to ensure no error with current R version.
pmatnorm
: Included argument keepAttr
to
pass to mvtnorm::pmvnorm()
v.1.1-2: logical allowing users
to attach error and message to the return value.
rmatnorm
:
checkSymmetry = FALSE
to
mvtnorm::rmvnorm()
as the matrices are already checked for
symmetry.Documentation clarification, thanks @1
Vignette clarification, thanks @#1.
vech()
function: performs half-vectorization on a
symmetric matrix. This is the vector-form of the lower triangular matrix
only. Unlike other functions on CRAN, vech() inherits any names from the
matrix.dmatrixnorm
: Clarified by replacing the name of
argument use.log
with log
for consistency in
argument name with mvtnorm and stats package.is.symmetric()
, is.positive.definite()
,
is.positive.semi.definite()
:
find.eval()
.NA
), these functions NOW
return NA.rmatrixnorm
: Added the first argument s
to
draw many random samples. Only 1 sample is still drawn; the argument
currently has no effect but acts as a placeholder in future
releases.is.positive.definite()
,
is.positive.semi.definite()
returns NA if the matrix
contains missing value (bug fix).pmatnorm()
, dmatnorm()
,
rmatnorm()
now throws error if the parameters of the matrix
Normal Distribution M
, U
, or V
contain any missing values.rmatnorm()
now returns a matrix with rownames from U
and the colnames from V.rmatnorm()
, pre0.9_9994
that was passed
from rmvnorm()
function in mvtnorm library
is removed, because it is not needed. This argument was introduced in
mvtnorm library to fix a bug in version 0.9-9993, but matrixNormal uses
a version of at least 1.0.8. This argument is just not needed, and if
pre0.9_9994 is set to TRUE, nothing will happen.NEWS.md
file to track changes to the
package.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.