maxentpi2: Joint inclusion probabilities of maximum entropy.
In RJauslin/StratifiedSampling: Different Methods for Stratified Sampling
maxentpi2 R Documentation
Joint inclusion probabilities of maximum entropy.
Description
This function computes the matrix of the joint inclusion of the maximum entropy sampling with fixed sample size. It can handle unequal inclusion probabilities.
Usage
maxentpi2(pikr)
Arguments
pikr
A vector of inclusion probabilities.
Details
The sampling design maximizes the entropy design:
I(p) = - \sum s p(s) log[p(s)].
This function is a C++ implementation of UPMEpik2frompikw.
More details could be find in Tille (2006).
Value
A matrix, the joint inclusion probabilities.
References
Tille, Y. (2006), Sampling Algorithms, springer
RJauslin/StratifiedSampling documentation built on Feb. 5, 2025, 4:18 a.m.
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| maxentpi2 | R Documentation |
Joint inclusion probabilities of maximum entropy.
Description
This function computes the matrix of the joint inclusion of the maximum entropy sampling with fixed sample size. It can handle unequal inclusion probabilities.
Usage
maxentpi2(pikr)
Arguments
pikr |
A vector of inclusion probabilities. |
Details
The sampling design maximizes the entropy design:
I(p) = - \sum s p(s) log[p(s)].
This function is a C++ implementation of UPMEpik2frompikw.
More details could be find in Tille (2006).
Value
A matrix, the joint inclusion probabilities.
References
Tille, Y. (2006), Sampling Algorithms, springer
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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