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prior and posterior samples (if applicable) from an object of class `bmult`\n\n```r\n## S3 method for class 'bmult'\nsamples(x)\n```\n\n## Arguments\n\n- `x`: object of class `bmult` as returned from `mult_bf_informed` or `binom_bf_informed`\n\n## Returns\n\nReturns `list` with prior and posterior samples (if applicable) from an object of class `bmult`\n\n\n\n## Examples\n\n```r\n# data\nx <- c(3, 4, 10, 11)\nn <- c(15, 12, 12, 12)\n# priors\na <- c(1, 1, 1, 1)\nb <- c(1, 1, 1, 1)\n# informed hypothesis\nfactor_levels <- c('theta1', 'theta2', 'theta3', 'theta4')\nHr <- c('theta1', '<', 'theta2', '<', 'theta3', '<', 'theta4')\n\n## Multinomial Case\nout_mult <- mult_bf_informed(x=x, Hr=Hr, a=a, factor_levels=factor_levels,\nniter=1e3, seed=2020)\nsample_list <- samples(out_mult)\n```"}]}]}]}]}]}],["$","div",null,{"className":"lg:w-1/3 lg:border-l px-1 sm:px-8 pt-8 sm:pt-1","children":[["$","div",null,{"className":"mb-8 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