Variance estimator of HT estimator of population total of target variable y

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

vsb function

<dl> <dt>probs</dt>
<dd>vector of length n (sample) with inclusion probabilities</dd> <dt>ys</dt>
<dd>vector of target variable y of length n (sample)</dd> <dt>xs</dt>
<dd>matrix of (standardized) auxiliary variables of n rows (sample) and q columns</dd></dl>

Arguments

Variance estimator for spatially balanced sample — vsb

<dl>

 <dt>probs</dt>
<dd>vector of length n (sample) with inclusion probabilities</dd>

 <dt>ys</dt>
<dd>vector of target variable y of length n (sample)</dd>

 <dt>xs</dt>
<dd>matrix of (standardized) auxiliary variables of n rows (sample) and q columns</dd>

</dl>

vsb: Variance estimator for spatially balanced sample

Description

Usage

Value

Arguments

References