logistf.mod.control: Controls additional parameters for 'logistf'
In logistf: Firth's Bias-Reduced Logistic Regression
View source: R/logistf.mod.control.R
logistf.mod.control R Documentation
Controls additional parameters for logistf
Description
Sets parameters for logistf calls.
Usage
logistf.mod.control(tau = 0.5, terms.fit = NULL)
Arguments
tau
Penalization parameter (default = 0.5)
terms.fit
A numeric vector of terms to fit. Intercept has to be included if needed.
Value
tau
Penalization parameter (default = 0.5)
terms.fit
A numeric vector of terms to fit. Intercept has to be included if needed.
Examples
data(sexagg)
fit2<-logistf(case ~ age+oc+vic+vicl+vis+dia, data=sexagg, weights=COUNT,
modcontrol=logistf.mod.control(terms.fit=c(1,2)))
summary(fit2)
logistf documentation built on Aug. 18, 2023, 5:06 p.m.
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View source: R/logistf.mod.control.R
| logistf.mod.control | R Documentation |
Controls additional parameters for logistf
Description
Sets parameters for logistf calls.
Usage
logistf.mod.control(tau = 0.5, terms.fit = NULL)
Arguments
tau |
Penalization parameter (default = 0.5) |
terms.fit |
A numeric vector of terms to fit. Intercept has to be included if needed. |
Value
tau |
Penalization parameter (default = 0.5) |
terms.fit |
A numeric vector of terms to fit. Intercept has to be included if needed. |
Examples
data(sexagg)
fit2<-logistf(case ~ age+oc+vic+vicl+vis+dia, data=sexagg, weights=COUNT,
modcontrol=logistf.mod.control(terms.fit=c(1,2)))
summary(fit2)
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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