get_empirical_population: Compute empirical population by imputing reponses and...
In biometryhub/RSS_package: Easing the Application of Ranked Set Sampling in Practice
View source: R/get_empirical_population.R
get_empirical_population R Documentation
Compute empirical population by imputing reponses and measured sizes using knn.
Description
Compute empirical population by imputing reponses and measured sizes using knn.
Usage
get_empirical_population(sample_indices, pop, y)
Arguments
sample_indices
Indices of sample.
pop
Population data frame to be sampled with 4 columns.
Halton numbers
X1-coordinate of population unit
X2-coordinate of population unit
Size measurement of population unit
y
Sample response values.
Value
A summary data frame of the estimator.
biometryhub/RSS_package documentation built on Feb. 18, 2025, 11:56 p.m.
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View source: R/get_empirical_population.R
| get_empirical_population | R Documentation |
Compute empirical population by imputing reponses and measured sizes using knn.
Description
Compute empirical population by imputing reponses and measured sizes using knn.
Usage
get_empirical_population(sample_indices, pop, y)
Arguments
sample_indices |
Indices of sample. |
pop |
Population data frame to be sampled with 4 columns.
|
y |
Sample response values. |
Value
A summary data frame of the estimator.
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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