y.binary: Values for the observed outcome of a binary logistic...
In ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference
Description
A numeric vector containing the observed values (y) of the outcome of a logistic regression with fake data (y ~ dbern(mu); logit(mu) = theta[1] + theta[2] * X). The purpose of the dataset is only to show the possibilities of the ggmcmc package.
Usage
1
Format
A numeric vector containing the observed values of the outcome in the linear regression with fake data.
ggmcmc documentation built on Feb. 10, 2021, 5:10 p.m.
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Description
A numeric vector containing the observed values (y) of the outcome of a logistic regression with fake data (y ~ dbern(mu); logit(mu) = theta[1] + theta[2] * X). The purpose of the dataset is only to show the possibilities of the ggmcmc package.
Usage
1 |
Format
A numeric vector containing the observed values of the outcome in the linear regression with fake data.
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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