matrixNormal_v-0.1.1 2022-Sep-15

matrixNormal 0.1.0 2021-Dec-29

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:
- Added argument checkSymmetry = FALSE to mvtnorm::rmvnorm() as the matrices are already checked for symmetry.
- U and V are incorrectly switched, (thanks, @prockenschaub, https://github.com/phargarten2/matrixNormal/issues/1)
  - Added warning to earlier versions of R
  - Changed reference cited.
  - Made argument method clearer
Documentation clarification, thanks @1
Vignette clarification, thanks @#1.

Minor Change: Changed lazy data to FALSE in description file to remove notes on CRAN check in R 4.0.5.

New 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():
- if A is not symmetric, these functions NOW return FALSE instead of stopping the function. Restructured helper find.eval().
- if A contains a missing value (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.
Clarified documentation.
Added session information and version details to the vignette. The updated versions of the packages listed do not affect the results of matrixNormal functions.

Vignette is added, replacing the package R file. Included the use and uniqueness of matrixNormal distribution. Also included an example that uses the package. Added additional packages to be imported in Documentation.
Documentation clarified.
Minor Changes in Examples: ** Changed order of examples in rmatnorm() for reproducibility ** Made clearer in using the dataset package in pmatnorm() example ** Removed installation of matrixcalc package in is.symmetric.matrix examples.
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.
In 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.