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dsample

Discretization-Based Direct Random Sample Generation

Discretization-based random sampling algorithm that is useful for a complex model in high dimension is implemented. The normalizing constant of a target distribution is not needed. Posterior summaries are compared with those by 'OpenBUGS'. The method is described: Wang and Lee (2014) <doi:10.1016/j.csda.2013.06.011> and exercised in Lee (2009) <http://hdl.handle.net/1993/21352>.

Versions across snapshots

VersionRepositoryFileSize
0.91.3.4 rolling linux/jammy R-4.5 dsample_0.91.3.4.tar.gz 53.7 KiB
0.91.3.4 rolling linux/noble R-4.5 dsample_0.91.3.4.tar.gz 53.7 KiB
0.91.3.4 rolling source/ R- dsample_0.91.3.4.tar.gz 38.0 KiB
0.91.3.4 latest linux/jammy R-4.5 dsample_0.91.3.4.tar.gz 53.7 KiB
0.91.3.4 latest linux/noble R-4.5 dsample_0.91.3.4.tar.gz 53.7 KiB
0.91.3.4 latest source/ R- dsample_0.91.3.4.tar.gz 38.0 KiB
0.91.3.4 2026-04-26 source/ R- dsample_0.91.3.4.tar.gz 38.0 KiB
0.91.3.4 2026-04-23 source/ R- dsample_0.91.3.4.tar.gz 38.0 KiB
0.91.3.4 2026-04-09 windows/windows R-4.5 dsample_0.91.3.4.zip 57.1 KiB
0.91.3.4 2025-04-20 source/ R- dsample_0.91.3.4.tar.gz 38.0 KiB

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