getChi: Total Chi-squared distance
In emunozh/testmsim: What the package does (short line)
Description
Usage
Arguments
Value
Source
Examples
View source: R/internalValidation.R
Description
Computes the Chi-squared distance between sample design weights and
estimated new weights.
Chi_i = ∑_j^m \frac{≤ft( w_j \times d_j\right)^2 }{2d_j}
Usage
1
getChi(design_weights, simulated_weights)
Arguments
design_weights
weights of the survey
simulated_weights
simulated weights
Value
chi-squared distance
Source
Rahman, A. (2009). Small Area Estimation Through Spatial Microsimulation Models. In 2nd International Microsimulation Association Conference. Ottawa and Canada. http://www.natsem.canberra.edu.au/publications/?publication=small-area-estimation-through-spatial-microsimulation-models-some-methodolgical-issues
Examples
1
2
emunozh/testmsim documentation built on May 13, 2017, 6:06 p.m.
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Description Usage Arguments Value Source Examples
View source: R/internalValidation.R
Description
Computes the Chi-squared distance between sample design weights and estimated new weights.
Chi_i = ∑_j^m \frac{≤ft( w_j \times d_j\right)^2 }{2d_j}
Usage
1 | getChi(design_weights, simulated_weights)
|
Arguments
design_weights |
weights of the survey |
simulated_weights |
simulated weights |
Value
chi-squared distance
Source
Rahman, A. (2009). Small Area Estimation Through Spatial Microsimulation Models. In 2nd International Microsimulation Association Conference. Ottawa and Canada. http://www.natsem.canberra.edu.au/publications/?publication=small-area-estimation-through-spatial-microsimulation-models-some-methodolgical-issues
Examples
1 2 |
emunozh/testmsim documentation built on May 13, 2017, 6:06 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.
As an Amazon Associate I earn from qualifying purchases.
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