mdlfttngswsu: Summary Tables for Step_Wise Step_Down Model Fitting
In MartinSchweinberger/coedlstatzr: Functions and Data for the CoEDL Workshop "Advanced Statistics for Linguists"
Description
Usage
Arguments
Examples
Description
This function produces summary tables for step-wise step-down model fitting effects binomial logistic regressions by extracting the relevent information from a glm and an lrm object.
Usage
1
mdlfttngswsu(mdlcmp)
Arguments
mdlcmp
is a list of model comparisons of which individual elements are created by anova calls.
Examples
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## Not run:
m0 <-glm(depvar ~ 1, data = data, family = "binomial")
m1 = glm(depvar ~ indepvar1, data = data, family = "binomial")
m2 = glm(depvar ~ indepvar + inpepvar2, data = data, family = "binomial")
m1m0 = anova(m1, m0, test = "Chi)
m2m1 = anova(m2, m1, test = "Chi)
mdlfttngswsd(m1m0, m2m1)
## End(Not run)
MartinSchweinberger/coedlstatzr documentation built on Nov. 27, 2019, 6:16 a.m.
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Description Usage Arguments Examples
Description
This function produces summary tables for step-wise step-down model fitting effects binomial logistic regressions by extracting the relevent information from a glm and an lrm object.
Usage
1 | mdlfttngswsu(mdlcmp)
|
Arguments
mdlcmp |
is a list of model comparisons of which individual elements are created by anova calls. |
Examples
1 2 3 4 5 6 7 8 9 | ## Not run:
m0 <-glm(depvar ~ 1, data = data, family = "binomial")
m1 = glm(depvar ~ indepvar1, data = data, family = "binomial")
m2 = glm(depvar ~ indepvar + inpepvar2, data = data, family = "binomial")
m1m0 = anova(m1, m0, test = "Chi)
m2m1 = anova(m2, m1, test = "Chi)
mdlfttngswsd(m1m0, m2m1)
## End(Not run)
|
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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