dataHNBNs: Synthetics Data for Small Area Estimation using Hierarchical...
In rakaikmana/hurdlenb: Small Area Estimastion using Hierarchical Bayesian Method under Hurdle Negative Binomial Distribution
Description
Dataset to simulate Small Area Estimation using Hierarchical Bayesian Method under Hurdle Negative Binomial Distribution with non-sampled areas
This data contains NA values that indicates no sampled at one or more small areas. It uses the dataHNB
with the direct estimates and the related variances in 5 small areas are missing.
Usage
1
Format
A data frame with 50 rows and 5 variables:
- y
Direct Estimation of y
- x1
Auxiliary variable of x1
- x2
Auxiliary variable of x2
- vardir
Sampling Variance of y
rakaikmana/hurdlenb documentation built on Feb. 14, 2022, 12:49 a.m.
R Package Documentation
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Description
Dataset to simulate Small Area Estimation using Hierarchical Bayesian Method under Hurdle Negative Binomial Distribution with non-sampled areas
This data contains NA values that indicates no sampled at one or more small areas. It uses the dataHNB with the direct estimates and the related variances in 5 small areas are missing.
Usage
1 |
Format
A data frame with 50 rows and 5 variables:
- y
Direct Estimation of y
- x1
Auxiliary variable of x1
- x2
Auxiliary variable of x2
- vardir
Sampling Variance of y
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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