logit: Simulated logistic regression data.
In mcmc: Markov Chain Monte Carlo
logit R Documentation
Simulated logistic regression data.
Description
Like it says
Usage
data(logit)
Format
A data frame with variables
- x1
quantitative predictor.
- x2
quantitative predictor.
- x3
quantitative predictor.
- x4
quantitative predictor.
- y
Bernoulli response.
Examples
library(mcmc)
data(logit)
out <- glm(y ~ x1 + x2 + x3 + x4, family = binomial, data = logit)
summary(out)
mcmc documentation built on Nov. 17, 2023, 1:06 a.m.
R Package Documentation
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| logit | R Documentation |
Simulated logistic regression data.
Description
Like it says
Usage
data(logit)Format
A data frame with variables
- x1
quantitative predictor.
- x2
quantitative predictor.
- x3
quantitative predictor.
- x4
quantitative predictor.
- y
Bernoulli response.
Examples
library(mcmc)
data(logit)
out <- glm(y ~ x1 + x2 + x3 + x4, family = binomial, data = logit)
summary(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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