MSPE_boot_adjusted: Bootstrap MSPE estimator of Adjusted Observed Best Predictor...
In rohosen/OBPSAE: Observed best predictors for small area estimation
Description
Usage
Arguments
Value
References
Description
This function computes the bootstrap MSPE estimator of benchmarked adjusted OBP.
Usage
1
MSPE_boot_adjusted(theta.OBP.adjusted, D, x, weight, L = 200)
Arguments
theta.OBP.adjusted
A vector of adjusted OBPs.
D
Scalar, Vector (or diagonal matrix) of random error variances.
x
Design matrix without intercept term.
weight
Weight of each small area for calculating the benchmarked OBP (generally sampling weights of each small area).
L
is the number of bootstrap samples. the default is 200.
Value
This function will return a vector of the Bootstrap MSPE estimator of Adjusted OBP.
References
Bandyopadhyay R, Jiang J (2017) "Benchmarking the Observed Best Predictor"
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.
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Description Usage Arguments Value References
Description
This function computes the bootstrap MSPE estimator of benchmarked adjusted OBP.
Usage
1 | MSPE_boot_adjusted(theta.OBP.adjusted, D, x, weight, L = 200)
|
Arguments
theta.OBP.adjusted |
A vector of adjusted OBPs. |
D |
Scalar, Vector (or diagonal matrix) of random error variances. |
x |
Design matrix without intercept term. |
weight |
Weight of each small area for calculating the benchmarked OBP (generally sampling weights of each small area). |
L |
is the number of bootstrap samples. the default is 200. |
Value
This function will return a vector of the Bootstrap MSPE estimator of Adjusted OBP.
References
Bandyopadhyay R, Jiang J (2017) "Benchmarking the Observed Best Predictor"
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.
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