s: Simulations of the parameters of a simple linear regression...
In ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference
Description
A coda object containing simulated values from the posterior distribution of the intercept, slope and residual of a linear regression with fake data (y = beta[1] + beta[2] * X + sigma). The purpose of the dataset is only to show the possibilities of the ggmcmc package.
Usage
1
Format
A coda object containing posterior distributions of the intercept, slope and residual of a linear regression with fake data.
ggmcmc documentation built on Feb. 10, 2021, 5:10 p.m.
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Description
A coda object containing simulated values from the posterior distribution of the intercept, slope and residual of a linear regression with fake data (y = beta[1] + beta[2] * X + sigma). The purpose of the dataset is only to show the possibilities of the ggmcmc package.
Usage
1 |
Format
A coda object containing posterior distributions of the intercept, slope and residual of a 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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