modeldf: Transform lm, glm, or nls object into a data frame with...
In robertschnitman/schnitr: Diagnostic tools for regression modeling
modeldf R Documentation
Transform lm, glm, or nls object into a data frame with margin of error and confidence intervals.
Description
Transform lm, glm, or nls object into a data frame with margin of error and confidence intervals.
Usage
modeldf(model, conf = 0.95)
Arguments
model
An lm, glm, or nls model object.
conf
A confidence level, 0-1.
Value
A data frame.
See Also
https://github.com/robertschnitman/diagnoser
Examples
model.glm <- glm(data = mtcars, formula = am ~ mpg + gear, family = binomial(link = 'logit'))
modeldf(model = model.glm, conf = 0.90)
robertschnitman/schnitr documentation built on Aug. 18, 2022, 8:39 p.m.
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| modeldf | R Documentation |
Transform lm, glm, or nls object into a data frame with margin of error and confidence intervals.
Description
Transform lm, glm, or nls object into a data frame with margin of error and confidence intervals.
Usage
modeldf(model, conf = 0.95)
Arguments
model |
An lm, glm, or nls model object. |
conf |
A confidence level, 0-1. |
Value
A data frame.
See Also
https://github.com/robertschnitman/diagnoser
Examples
model.glm <- glm(data = mtcars, formula = am ~ mpg + gear, family = binomial(link = 'logit')) modeldf(model = model.glm, conf = 0.90)
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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