pi_ij_replace: Calculate joint inclusion probability of unit $j$ and $h$...
In ksauby/ACS: Adaptive Cluster Sampling
pi_ij_replace R Documentation
Calculate joint inclusion probability of unit $j$ and $h$ when sampling occurs with replacement
Description
Calculate joint inclusion probability of unit $j$ and $h$ when sampling occurs with replacement
Usage
pi_ij_replace(N, n1, m_vec)
Arguments
N
Population size.
n1
An integer giving the initial sample size (e.g., a simple random sample).
m_vec
Vector of values m for the set of units in a sample, of length n1. Each m value within the vector m_vec denotes the number of units satisfying the ACS criterion for the network i to which the unit belongs.
ksauby/ACS documentation built on Aug. 18, 2022, 3:33 a.m.
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| pi_ij_replace | R Documentation |
Calculate joint inclusion probability of unit $j$ and $h$ when sampling occurs with replacement
Description
Calculate joint inclusion probability of unit $j$ and $h$ when sampling occurs with replacement
Usage
pi_ij_replace(N, n1, m_vec)
Arguments
N |
Population size. |
n1 |
An integer giving the initial sample size (e.g., a simple random sample). |
m_vec |
Vector of values m for the set of units in a sample, of length n1. Each m value within the vector |
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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