wrswoR-package | R Documentation |
R's default sampling without replacement using
base::sample.int()
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.
Implementations are adapted from https://stackoverflow.com/q/15113650/946850.
Kirill Müller
Efraimidis, Pavlos S., and Paul G. Spirakis. "Weighted random sampling with a reservoir." Information Processing Letters 97, no. 5 (2006): 181-185.
Wong, Chak-Kuen, and Malcolm C. Easton. "An efficient method for weighted sampling without replacement." SIAM Journal on Computing 9, no. 1 (1980): 111-113.
Useful links:
sample_int_rej(100, 50, 1:100)
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