scps_getrand

Retrieves a vector of random numbers resulting in the provided scps sample

Select balanced and spatially balanced probability samples in multi-dimensional spaces
with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of
the included sampling methods. The local pivotal method by Grafström, Lundström and Schelin (2012)
<doi:10.1111/j.1541-0420.2011.01699.x> and spatially correlated Poisson sampling by Grafström (2012)
<doi:10.1016/j.jspi.2011.07.003> are included. Also the cube method (for balanced sampling) and
the local cube method (for doubly balanced sampling) are included, see Grafström and Tillé (2013)
<doi:10.1002/env.2194>.

Anton Grafstrm

BalancedSampling

Balanced and Spatially Balanced Sampling

scps_getrand function

<dl> <dt>prob</dt>
<dd>vector of length N with inclusion probabilities</dd> <dt>x</dt>
<dd>matrix of (standardized) auxiliary variables of N rows and q columns</dd> <dt>s</dt>
<dd>vector of length N with inclusion indicators</dd></dl>

Arguments

Spatially correlated Poisson sampling — scps_getrand

<dl>

 <dt>prob</dt>
<dd>vector of length N with inclusion probabilities</dd>

 <dt>x</dt>
<dd>matrix of (standardized) auxiliary variables of N rows and q columns</dd>

 <dt>s</dt>
<dd>vector of length N with inclusion indicators</dd>

</dl>

scps_getrand: Spatially correlated Poisson sampling

Description

Usage

Value

Arguments

References