MSPE_boot: Bootstrap MSPE Estimator of OBP.
In rohosen/OBPSAE: Observed best predictors for small area estimation
Description
Usage
Arguments
Value
References
Description
This function computes the bootstrap MSPE estimator of the Observed Best Predictor (OBP).
Usage
1
Arguments
theta.OBP
A vector of OBPs.
D
Scalar, Vector (or diagonal matrix) of random error variances.
x
Design matrix without intercept.
L
Number of bootstrap samples. the default is 200.
Value
This function will return a vector of the Bootstrap MSPE estimator of OBP.
References
Jiang J, Nguyen T, and Rao J. S. (2011), "Best Predictive Small Area Estimation", Journal of the American Statistical Association.
rohosen/OBPSAE documentation built on May 17, 2019, 2:22 p.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 References
Description
This function computes the bootstrap MSPE estimator of the Observed Best Predictor (OBP).
Usage
1 |
Arguments
theta.OBP |
A vector of OBPs. |
D |
Scalar, Vector (or diagonal matrix) of random error variances. |
x |
Design matrix without intercept. |
L |
Number of bootstrap samples. the default is 200. |
Value
This function will return a vector of the Bootstrap MSPE estimator of OBP.
References
Jiang J, Nguyen T, and Rao J. S. (2011), "Best Predictive Small Area Estimation", Journal of the American Statistical Association.
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.