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inst/examples/assess_convergence_example.R
In BayesMallows: Bayesian Preference Learning with the Mallows Rank Model
set.seed(1)
# Fit a model on the potato_visual data
mod <- compute_mallows(setup_rank_data(potato_visual))
# Check for convergence
assess_convergence(mod)
assess_convergence(mod, parameter = "rho", items = 1:20)
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BayesMallows documentation built on Sept. 11, 2024, 5:31 p.m.
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set.seed(1)
# Fit a model on the potato_visual data
mod <- compute_mallows(setup_rank_data(potato_visual))
# Check for convergence
assess_convergence(mod)
assess_convergence(mod, parameter = "rho", items = 1:20)
Try the BayesMallows package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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