resampleStratified: Stratified Resampling
In azure10h/PFSMC:
Description
Usage
Arguments
Value
View source: R/resampleStratified.R
Description
A resampling function. Stratified resampling is used to
reduce variance when Monte Carlo methods are implemented to estimate
population statistics. We pre-partition the (0,1] into n disjoint sets,
then draw independetly from each sub-intervals.
Usage
1
resampleStratified(w, N)
Arguments
w
Sample weights.
N
Number of particles. Defalut is the length of w.
Value
Return the index that is chosen.
azure10h/PFSMC documentation built on Feb. 5, 2020, 5:11 a.m.
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Description Usage Arguments Value
View source: R/resampleStratified.R
Description
A resampling function. Stratified resampling is used to reduce variance when Monte Carlo methods are implemented to estimate population statistics. We pre-partition the (0,1] into n disjoint sets, then draw independetly from each sub-intervals.
Usage
1 | resampleStratified(w, N)
|
Arguments
w |
Sample weights. |
N |
Number of particles. Defalut is the length of w. |
Value
Return the index that is chosen.
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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