BN.rBound: Maximum correlation between binary and normal random...
In SimTimeVar: Simulate Longitudinal Dataset with Time-Varying Correlated Covariates
Description
Usage
Arguments
Examples
Description
Given parameter p for a Bernoulli random variable, returns its maximum possible
correlation with an arbitrary normal random variable. Used to adjust correlation matrices
whose entries are not theoretically possible.
Usage
1
BN.rBound(p)
Arguments
p
Parameter of Bernoulli random variable.
Examples
1
2
3
# find the largest possible correlation between a normal
# variable and a binary with parameter 0.1
BN.rBound(0.1)
SimTimeVar documentation built on May 2, 2019, 8:31 a.m.
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Description Usage Arguments Examples
Description
Given parameter p for a Bernoulli random variable, returns its maximum possible
correlation with an arbitrary normal random variable. Used to adjust correlation matrices
whose entries are not theoretically possible.
Usage
1 | BN.rBound(p)
|
Arguments
p |
Parameter of Bernoulli random variable. |
Examples
1 2 3 | # find the largest possible correlation between a normal
# variable and a binary with parameter 0.1
BN.rBound(0.1)
|
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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