HTLR
cranv1.0Bayesian Logistic Regression with Heavy-Tailed Priors. Efficient Bayesian multinomial logistic regression based on heavy-tailed (hyper-LASSO, non-convex) priors. The posterior of coefficients and hyper-parameters is sampled with restricted Gibbs sampling for leveraging the high-dimensionality and Hamiltonian Monte Carlo for handling the high-correlation
License GPL-3strong copyleft0 versions1 maintainers4 deps74 weekly dl
https://CRAN.R-project.org/package=HTLR42
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Name is close to a popular package. Targets:
httr (char_swap dist 1)httr2 (close_name dist 2)
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curl https://depscope.dev/api/check/cran/HTLRFirst published · 2025-12-15 09:01:14
Last updated · 2025-12-15T07:10:08+00:00