LRMCoef: Logistic Regression Intercept and Slope
In brian-j-smith/qibm: Quantitative imaging biomarker modeling
Description
Usage
Arguments
See Also
Description
Derive the intercept and slope for a logistic regression model at a specified
odds ratio and event probability.
Usage
1
Arguments
OR
odds ratio for which to derive the intercept and slope.
scale
unit increase in x to which the OR corresponds.
p
event probability at x.
x
value of the predictor variable to which p corresponds.
See Also
LRM.
brian-j-smith/qibm documentation built on May 29, 2019, 2:12 p.m.
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Description Usage Arguments See Also
Description
Derive the intercept and slope for a logistic regression model at a specified odds ratio and event probability.
Usage
1 |
Arguments
OR |
odds ratio for which to derive the intercept and slope. |
scale |
unit increase in |
p |
event probability at |
x |
value of the predictor variable to which |
See Also
LRM.
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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