MVNtestchar
Test for Multivariate Normal Distribution Based on a Characterization
v1.1.3
·
Jul 25, 2020
·
GPL (>= 2)
Description
Provides a test of multivariate normality of an unknown sample that does not require estimation of the nuisance parameters, the mean and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters and results in a set of sample matrices that are positive definite. These matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle if and only if the original data is multivariate normal (Fairweather, 1973, Doctoral dissertation, University of Washington). The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for bivariate samples.
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Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
| r-devel-macos-arm64 | NOTE |
| r-devel-windows-x86_64 | NOTE |
| r-oldrel-macos-arm64 | NOTE |
| r-oldrel-macos-x86_64 | NOTE |
| r-oldrel-windows-x86_64 | NOTE |
| r-patched-linux-x86_64 | NOTE |
| r-release-linux-x86_64 | NOTE |
| r-release-macos-arm64 | NOTE |
| r-release-macos-x86_64 | NOTE |
| r-release-windows-x86_64 | NOTE |
Check details (16 non-OK)
NOTE
r-devel-linux-x86_64-debian-clang
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-devel-linux-x86_64-debian-gcc
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-devel-linux-x86_64-fedora-clang
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-devel-linux-x86_64-fedora-clang
dependencies in R code
Namespaces in Imports field not imported from: ‘ggplot2’ ‘grDevices’ ‘knitr’ ‘utils’ All declared Imports should be used.
NOTE
r-devel-linux-x86_64-fedora-gcc
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-devel-linux-x86_64-fedora-gcc
dependencies in R code
Namespaces in Imports field not imported from: ‘ggplot2’ ‘grDevices’ ‘knitr’ ‘utils’ All declared Imports should be used.
NOTE
r-devel-macos-arm64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-devel-windows-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-oldrel-macos-arm64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-oldrel-macos-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-oldrel-windows-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-patched-linux-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-release-linux-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-release-macos-arm64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-release-macos-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-release-windows-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters, resulting in a set of sample matrices that are positive definite. If, and only if the original data is multivariate normal, these matrices are uniformly distributed on the space of positive definite matrices in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
Check History
NOTE 0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE
r-devel-linux-x86_64-debian-clang
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-devel-linux-x86_64-debian-gcc
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-devel-linux-x86_64-fedora-clang
dependencies in R code
Namespaces in Imports field not imported from: ‘ggplot2’ ‘grDevices’ ‘knitr’ ‘utils’ All declared Imports should be used.
NOTE
r-devel-linux-x86_64-fedora-gcc
dependencies in R code
Namespaces in Imports field not imported from: ‘ggplot2’ ‘grDevices’ ‘knitr’ ‘utils’ All declared Imports should be used.
NOTE
r-devel-macos-arm64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-devel-windows-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-patched-linux-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-release-linux-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-release-macos-arm64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-release-macos-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-release-windows-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-oldrel-macos-arm64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-oldrel-macos-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^
NOTE
r-oldrel-windows-x86_64
Rd files
checkRd: (-1) MVNtestchar-package.Rd:16-17: Lost braces; missing escapes or markup?
16 | {Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean vector and covariance matr
...[truncated]...
in the unit hyper-rectangle. The package performs a goodness of fit test of this hypothesis. In addition to the test, functions in the package give visualizations of the support region of positive definite matrices for p equals 2.
| ^