logit.cor: Computes an association value between a dichotomous variable...
In malucalle/selbal: Finding highly - associated balances with the response variable.
logit.cor R Documentation
Computes an association value between a dichotomous variable and a
continuous one.
Description
Computes an association value between a dichotomous variable and a
continuous one.
Usage
logit.cor(FIT, y, logit.acc)
Arguments
FIT
a glm object referred to the logistic regression of a
dichotomous variable.
y
the response variable (dichotomous).
logit.acc
when y is dichotomous, the measure to compute for
the correlation between y and the proposed balance
adjusting for covariates. One of the following values: "Rsq" (default),
"AUC" or "Tjur".
Value
The association value using the selected method logit.acc.
malucalle/selbal documentation built on May 31, 2024, 2:36 p.m.
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| logit.cor | R Documentation |
Computes an association value between a dichotomous variable and a continuous one.
Description
Computes an association value between a dichotomous variable and a continuous one.
Usage
logit.cor(FIT, y, logit.acc)
Arguments
FIT |
a |
y |
the response variable (dichotomous). |
logit.acc |
when |
Value
The association value using the selected method logit.acc.
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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