glmCI: Confidence interval for generalized linear models
In wrappedtools: Useful Wrappers Around Commonly Used Functions
glmCI R Documentation
Confidence interval for generalized linear models
Description
glm_CI computes and formats CIs for glm.
Usage
glmCI(model, min = .01, max = 100, cisep = '\U000022ef', ndigit=2)
Arguments
model
Output from glm.
min, max
Lower and upper limits for CIs, useful for extremely wide CIs.
cisep
Separator between CI values.
ndigit
rounding level.
Value
A list with coefficient, CIs, and pasted coef([CIs]).
Examples
glm_out <- glm(am ~ mpg, family = binomial, data = mtcars)
glmCI(glm_out)
wrappedtools documentation built on Oct. 10, 2024, 5:07 p.m.
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| glmCI | R Documentation |
Confidence interval for generalized linear models
Description
glm_CI computes and formats CIs for glm.
Usage
glmCI(model, min = .01, max = 100, cisep = '\U000022ef', ndigit=2)
Arguments
model |
Output from glm. |
min, max |
Lower and upper limits for CIs, useful for extremely wide CIs. |
cisep |
Separator between CI values. |
ndigit |
rounding level. |
Value
A list with coefficient, CIs, and pasted coef([CIs]).
Examples
glm_out <- glm(am ~ mpg, family = binomial, data = mtcars)
glmCI(glm_out)
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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