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r / packages / r-hmmcont

The package includes the functions designed to analyse continuous observations processes with the Hidden Markov Model approach. They include Baum-Welch and Viterbi algorithms and additional visualisation functions. The observations are assumed to have Gaussian distribution and to be weakly stationary processes. The package was created for analyses of financial time series, but can also be applied to any continuous observations processes.

Type Size Name Uploaded Downloads Labels
conda 68.0 kB | noarch/r-hmmcont-1.0-r42h142f84f_0.tar.bz2  2 years and 8 months ago 52 main
conda 67.8 kB | noarch/r-hmmcont-1.0-r36h6115d3f_0.tar.bz2  4 years and 11 months ago 116 main

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