calc_ci_ord: Calculate ordinal model confidence intervals
In MichaelHoltonPrice/yada: Yet Another Demographic Analysis package

Wrapper function that takes an ordinal model and outputs the point estimate and 95 To allow reproducibility, an optional random number input seed seed can be provided. The input seed should either be (1) NA [the default], (2) a single integer, or (3) a vector of length M+1, where M is the number of ordinal categories. If no seed is provided, one is drawn and treated as if it (a single integer) was input. If a single integer is provided, it is used to generate a vector of integers with length M+1. The vector is used to provide seeds for initializing the seed for each call to calc_x_posterior.

1	calc_ci_ord(ord_model, th_x, input_seed = NA)

`ord_model`	List containing the parameter vector for y [th_y] and model specification [mod_spec] for an ordinal univariate model (likely the output of 'solve_ord_problem')
`th_x`	Parameterization for prior on x
`input_seed`	An optional seed that can be used to make results reproducible. The input_seed must be either (1) NA / not provided (the default), (2) a single integer, or (3) a vector with length M+1 (see Description for further details).