dot-information.logit: Information for Logistic Regressions
In BuyseTest: Generalized Pairwise Comparisons
.information.logit R Documentation
Information for Logistic Regressions
Description
Compute the information (i.e. opposit of the expectation of the second derivative of the log-likelihood) for logistic regressions.
Usage
.information.logit(object, indiv, center)
Arguments
object
a glm object corresponding to a logistic regression.
indiv
[logical] should the individual contribution be output instead of the total information?
center
[logical] should the individual contribution be centered around the average?
BuyseTest documentation built on March 31, 2023, 6:55 p.m.
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| .information.logit | R Documentation |
Information for Logistic Regressions
Description
Compute the information (i.e. opposit of the expectation of the second derivative of the log-likelihood) for logistic regressions.
Usage
.information.logit(object, indiv, center)
Arguments
object |
a glm object corresponding to a logistic regression. |
indiv |
[logical] should the individual contribution be output instead of the total information? |
center |
[logical] should the individual contribution be centered around the average? |
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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