logima: Logistic analysis of the Pima.tr dataset with control...
In mcsm: Functions for Monte Carlo Methods with R
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
Provides a logistic analysis of the ‘Pima.tr’ by comparing the standard
Bayesian estimate with another one based on log-cumulant control variates. The
effect is visible if not huge.
Usage
1
logima(N = 10^3)
Arguments
N
Number of Monte Carlo iterations
Value
Returns a graph for both the estimate of the intercept and the estimate
of the coefficient of the body mass index.
Author(s)
Christian P. Robert and George Casella
References
Chapter 4 of EnteR Monte Carlo Statistical Methods
See Also
Pima
Examples
1
logima()
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 See Also Examples
Description
Provides a logistic analysis of the ‘Pima.tr’ by comparing the standard Bayesian estimate with another one based on log-cumulant control variates. The effect is visible if not huge.
Usage
1 | logima(N = 10^3)
|
Arguments
N |
Number of Monte Carlo iterations |
Value
Returns a graph for both the estimate of the intercept and the estimate of the coefficient of the body mass index.
Author(s)
Christian P. Robert and George Casella
References
Chapter 4 of EnteR Monte Carlo Statistical Methods
See Also
Pima
Examples
1 | logima()
|
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.