calc_mixed_cum_probit_posterior: Calculate posterior for mixed cumulative probit model
In eehh-stanford/yada: Yet Another Demographic Analysis package

Description Usage Arguments Value Author(s) See Also

View source: R/calc_mixed_cum_probit_posterior.R

calc_mixed_cum_probit_posterior calculates the posterior probability of an observation as a function of a vector xv, which is assumed to be uniformly sampled.

1	calc_mixed_cum_probit_posterior(theta_y, theta_x, xv, y, hp, asLog = F)

`theta_y`	theta_y as a list (single theta_y sample) or list of lists (multiple theta_y samples)
`theta_x`	Parameterization for distribution of x (exponential rate)
`xv`	A vector of ages at which to calculate posterior
`y`	A new observation
`hp`	Hyperparameters
`asLog`	A logical variable indicating whether to return the (unnormalized) log of the likelihood