createDesMat: Create design matrix for log-linear models of contingency...
In alphaOutlier: Obtain Alpha-Outlier Regions for Well-Known Probability Distributions
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
This function creates a design matrix for contingency tables and is particularly useful for log-linear Poisson models. It uses effect coding of the variables: First the rows of the contingency table from top to bottom, then the columns from left to right.
Usage
1
createDesMat(n, p)
Arguments
n
Number of rows of the corresponding contingency table.
p
Number of columns of the corresponding contingency table.
Value
A (n+p-1) times (n*p) design matrix.
Author(s)
A. Rehage
References
Kuhnt, S.; Rapallo, F.; Rehage, A. (2014) Outlier detection in contingency tables based on minimal patterns. Statistics and Computing 24 (3), 481-491.
Examples
1
createDesMat(3, 5)
alphaOutlier documentation built on May 30, 2017, 8:11 a.m.
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Description Usage Arguments Value Author(s) References Examples
Description
This function creates a design matrix for contingency tables and is particularly useful for log-linear Poisson models. It uses effect coding of the variables: First the rows of the contingency table from top to bottom, then the columns from left to right.
Usage
1 | createDesMat(n, p)
|
Arguments
n |
Number of rows of the corresponding contingency table. |
p |
Number of columns of the corresponding contingency table. |
Value
A (n+p-1) times (n*p) design matrix.
Author(s)
A. Rehage
References
Kuhnt, S.; Rapallo, F.; Rehage, A. (2014) Outlier detection in contingency tables based on minimal patterns. Statistics and Computing 24 (3), 481-491.
Examples
1 | createDesMat(3, 5)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
As an Amazon Associate I earn from qualifying purchases.
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