myX2c: The Monte-Carlo chi-square test...
In ddgraph: Distinguish direct and indirect interactions with Graphical Modelling
Description
Usage
Arguments
Details
Value
Description
The Monte-Carlo chi-square test
Usage
1
Arguments
x
the first variable (vector of values)
y
the second variable (vector of values)
C
the variables to condition on - either a vector, or a list of vectors
B
the number of Monte Carlo runs (defaults to 5000 if given NULL)
Details
This is the reimplementation of Monte Carlo chi-square test to be sure
it works correctly. The Monte Carlo loop is implemented using Rcpp and uses
the R function r2dtable() to generate random contingency tables with
fixed marginals.
Value
the P-value of the test
ddgraph documentation built on Nov. 17, 2017, 10:50 a.m.
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Description Usage Arguments Details Value
Description
The Monte-Carlo chi-square test
Usage
1 |
Arguments
x |
the first variable (vector of values) |
y |
the second variable (vector of values) |
C |
the variables to condition on - either a vector, or a list of vectors |
B |
the number of Monte Carlo runs (defaults to 5000 if given NULL) |
Details
This is the reimplementation of Monte Carlo chi-square test to be sure
it works correctly. The Monte Carlo loop is implemented using Rcpp and uses
the R function r2dtable() to generate random contingency tables with
fixed marginals.
Value
the P-value of the test
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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