GenHMM1d
Goodness-of-Fit for Zero-Inflated Univariate Hidden Markov Models
v0.2.6
·
Sep 7, 2025
·
GPL-3
Description
Inference, goodness-of-fit tests, and predictions for continuous and discrete univariate Hidden Markov Models (HMM), including zero-inflated distributions. The goodness-of-fit test is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Nasri et al (2020) <doi:10.1029/2019WR025122>.
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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
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0.2.6
Mar 9, 2026