MSPE_naive: Naive MSPE Estimator of Observed Best Predictor (OBP).
In rohosen/OBPSAE: Observed best predictors for small area estimation
Description
Usage
Arguments
Value
References
Description
This function computes the naive MSPE estimator of OBP.
Usage
1
MSPE_naive(y, D, theta.OBP, A.BPE)
Arguments
y
A vector of the response variable.
D
Scalar, Vector (or diagonal matrix) of random error variances.
theta.OBP
A vector of OBP values
A.BPE
BPE estimate of variance of random effects or the true value, if known.
Value
This function will return the Naive MSPE estimator of the 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.
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Description Usage Arguments Value References
Description
This function computes the naive MSPE estimator of OBP.
Usage
1 | MSPE_naive(y, D, theta.OBP, A.BPE)
|
Arguments
y |
A vector of the response variable. |
D |
Scalar, Vector (or diagonal matrix) of random error variances. |
theta.OBP |
A vector of OBP values |
A.BPE |
BPE estimate of variance of random effects or the true value, if known. |
Value
This function will return the Naive MSPE estimator of the 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.
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