MvBinaryProbaPost: Computation of the model Cramer'v.
In MvBinary: Modelling Multivariate Binary Data with Blocks of Specific One-Factor Distribution
Description
Usage
Arguments
Value
Description
This function computes the model Cramer's V for a binary data set.
Usage
1
MvBinaryProbaPost(x, param)
Arguments
x
a binary matrix.
param
an instance of S4 class MvBinaryResult (provided by the function MvBinaryEstim)
Value
Return the logprobability for each row of matrix x conditionally on the model defined by param.
MvBinary documentation built on May 2, 2019, 5:57 p.m.
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Description Usage Arguments Value
Description
This function computes the model Cramer's V for a binary data set.
Usage
1 | MvBinaryProbaPost(x, param)
|
Arguments
x |
a binary matrix. |
param |
an instance of S4 class MvBinaryResult (provided by the function MvBinaryEstim) |
Value
Return the logprobability for each row of matrix x conditionally on the model defined by param.
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.
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