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Fit Gaussian hidden Markov (or semi-Markov) models with / without autoregressive coefficients and with / without regularization. The fitting algorithm for the hidden Markov model is illustrated by Rabiner (1989) <doi:10.1109/5.18626>. The shrinkage estimation on the covariance matrices is based on the method by Ledoit et al. (2004) <doi:10.1016/S0047-259X(03)00096-4>. The shrinkage estimation on the autoregressive coefficients uses the elastic net shrinkage detailed in Zou et al. (2005) <doi:10.1111/j.1467-9868.2005.00503.x>.

Type Size Name Uploaded Downloads Labels
conda 331.1 kB | linux-64/r-rarhsmm-1.0.7-r36h29659fb_0.tar.bz2  5 years and 3 months ago 1 main
conda 341.0 kB | osx-64/r-rarhsmm-1.0.7-r36h466af19_0.tar.bz2  5 years and 3 months ago 1 main
conda 332.1 kB | win-64/r-rarhsmm-1.0.7-r36h796a38f_0.tar.bz2  5 years and 3 months ago 0 main

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