pcalc: Calculation of the p-value for the test of H0: beta = 0...
In lalondetl/ECLR:
Description
Usage
Arguments
Examples
Description
This function calculates the p-value for the test of H0: beta = 0 versus H1: beta > 0 for exact clustered logistic regression.
Usage
1
pcalc(zadmis, nvec, z, x)
Arguments
zadmis
The matrix of admissable vectors.
nvec
The vector of numbers of observations per cluster.
z
The vector of observed z-values for each cluster.
x
A vector of predictor values for each cluster.
Examples
1
pcalc()
lalondetl/ECLR documentation built on May 31, 2019, 6:15 p.m.
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Description Usage Arguments Examples
Description
This function calculates the p-value for the test of H0: beta = 0 versus H1: beta > 0 for exact clustered logistic regression.
Usage
1 | pcalc(zadmis, nvec, z, x)
|
Arguments
zadmis |
The matrix of admissable vectors. |
nvec |
The vector of numbers of observations per cluster. |
z |
The vector of observed z-values for each cluster. |
x |
A vector of predictor values for each cluster. |
Examples
1 | pcalc()
|
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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