corr.nn4pn: Finds the underlying bivariate normal correlation given the...
In PoisBinOrdNor: Data Generation with Poisson, Binary, Ordinal and Normal Components
Description
Usage
Arguments
Value
Examples
Description
This function computes the underlying bivariate normal correlation given the specified correlation for a pair of count and normal variables.
Usage
1
corr.nn4pn(lam, PN.cor)
Arguments
lam
Rate parameter for the count variable.
PN.cor
Pre-specified correlation for a pair of count and normal variables.
Value
Correlation of underlying bivariate normal data.
Examples
1
2
3
4
## Not run:
corr.nn4pn(0.5, 0.32)
## End(Not run)
PoisBinOrdNor documentation built on March 22, 2021, 9:08 a.m.
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Description Usage Arguments Value Examples
Description
This function computes the underlying bivariate normal correlation given the specified correlation for a pair of count and normal variables.
Usage
1 | corr.nn4pn(lam, PN.cor)
|
Arguments
lam |
Rate parameter for the count variable. |
PN.cor |
Pre-specified correlation for a pair of count and normal variables. |
Value
Correlation of underlying bivariate normal data.
Examples
1 2 3 4 | ## Not run:
corr.nn4pn(0.5, 0.32)
## End(Not run)
|
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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