MixSemiRob
Mixture Models: Parametric, Semiparametric, and Robust
Various functions are provided to estimate parametric mixture models (with Gaussian, t, Laplace, log-concave distributions, etc.) and non-parametric mixture models. The package performs hypothesis tests and addresses label switching issues in mixture models. The package also allows for parameter estimation in mixture of regressions, proportion-varying mixture of regressions, and robust mixture of regressions.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.1 |
rolling linux/jammy R-4.5 | MixSemiRob_1.1.1.tar.gz |
483.7 KiB |
1.1.1 |
rolling linux/noble R-4.5 | MixSemiRob_1.1.1.tar.gz |
483.9 KiB |
1.1.1 |
rolling source/ R- | MixSemiRob_1.1.1.tar.gz |
113.0 KiB |
1.1.1 |
latest linux/jammy R-4.5 | MixSemiRob_1.1.1.tar.gz |
483.7 KiB |
1.1.1 |
latest linux/noble R-4.5 | MixSemiRob_1.1.1.tar.gz |
483.9 KiB |
1.1.1 |
latest source/ R- | MixSemiRob_1.1.1.tar.gz |
113.0 KiB |
1.1.1 |
2026-04-26 source/ R- | MixSemiRob_1.1.1.tar.gz |
113.0 KiB |
1.1.1 |
2026-04-23 source/ R- | MixSemiRob_1.1.1.tar.gz |
113.0 KiB |
1.1.1 |
2026-04-09 windows/windows R-4.5 | MixSemiRob_1.1.1.zip |
486.5 KiB |
1.1.0 |
2025-04-20 source/ R- | MixSemiRob_1.1.0.tar.gz |
110.2 KiB |