wrswoR-package

wrswoR

R's default sampling without replacement using
<code><a rd-options="base:sample.int" href="/link/base%3A%3Asample.int()?package=wrswoR&version=1.1&to=base%3Asample.int" data-mini-rdoc="base:sample.int::base::sample.int()">base::sample.int()</a></code> seems to require quadratic run time,
e.g., when using weights drawn from a uniform distribution. For large
sample sizes, this is too slow. This package contains several
alternative implementations.

package

A collection of implementations of classical and novel
algorithms for weighted sampling without replacement.

Kirill Müller

Weighted Random Sampling without Replacement

Kirill M<c3><bc>ller

wrswoR-package function

R's default sampling without replacement using
<code><a rd-options='base:sample.int' href='base::sample.int()'>base::sample.int()</a></code> seems to require quadratic run time,
e.g., when using weights drawn from a uniform distribution. For large
sample sizes, this is too slow. This package contains several
alternative implementations.

wrswoR-package: Faster weighted sampling without replacement

Description

Arguments

Details

References

Examples