Braking: Quadratic regression on the car braking dataset
In mcsm: Functions for Monte Carlo Methods with R
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
This function uses MCMC to analyse the car braking dataset cars via a quadratic
regression model. The underlying MCMC algorithm is an independent Metropolis-Hastings algorithm
centered at the MLE.
Usage
1
Braking(nsim = 10^3)
Arguments
nsim
Number of iterations in the MCMC algorithm
Value
Returns a plot of some simulated regression lines along with their average and the original data.
Author(s)
Christian P. Robert and George Casella
References
Chapter 3 of EnteR Monte Carlo Statistical Methods
Examples
1
Braking(10^4)
Example output
Loading required package: MASS
Loading required package: coda
mcsm documentation built on May 2, 2019, 10:16 a.m.
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.
Description Usage Arguments Value Author(s) References Examples
Description
This function uses MCMC to analyse the car braking dataset cars via a quadratic regression model. The underlying MCMC algorithm is an independent Metropolis-Hastings algorithm centered at the MLE.
Usage
1 | Braking(nsim = 10^3)
|
Arguments
nsim |
Number of iterations in the MCMC algorithm |
Value
Returns a plot of some simulated regression lines along with their average and the original data.
Author(s)
Christian P. Robert and George Casella
References
Chapter 3 of EnteR Monte Carlo Statistical Methods
Examples
1 | Braking(10^4)
|
Example output
Loading required package: MASS
Loading required package: coda
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.