R
rvMF
INFRA · APIS
Velocity0.0
Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors
A fast von Mises-Fisher sampler that ships a citation more often than a feature.
directional-statisticsrandom-generationrcppcranmethods-package
◆Current state
rvMF generates pseudo-random vectors from the von Mises-Fisher distribution, the standard model for directional data on a sphere. Its released surface has not changed materially in the window: the three most recent tags cover a dropped dependency, a citation update, and a C++ linking correction. The February 2026 release removes the scModels import.
◆Where it's heading
This is a single-purpose sampler that reached its intended scope early and has been maintained rather than extended since. The visible work is dependency reduction and paper-and-citation housekeeping, which is the normal shape for a method package whose implementation is described in a published paper and whose correctness argument lives there rather than in the changelog.
◆Prediction
More of the same: occasional releases to keep the C++ layer building and the dependency list short. Nothing in the notes points toward new distributions or new sampling methods.
◆Recent moves
- 6mo ago
Drops the scModels dependency
A one-line release removing the scModels import. It shortens the dependency chain for anyone installing rvMF, but nothing about the sampler itself changes.
View source ↗ - 2y ago
Adds citation for the Statistics and Computing paper
A documentation release marking the publication of the paper describing the sampler's implementation, with the Description field and citation information updated to match. The package gains a formal reference; its behaviour does not change.
View source ↗ - 2y ago
C++ function linkage corrected
Housekeeping: a corrected C++ function linkage, a typo fix, and an ORCID identifier added. Internal only.
View source ↗