sample_theta_y: Sample theta_y in the mixed cumulative probit model
In eehh-stanford/yada: Yet Another Demographic Analysis package

Description Usage Arguments Value Author(s)

sample_theta_y uses the adaptive Metropolis algorithm of Haario et al. 2001, https://projecteuclid.org/euclid.bj/1080222083, to sample the vector theta_y for the cumulative probit model.

sample_theta_y(
  x,
  Y,
  hp,
  numSamp,
  burnIn,
  verbose = T,
  start = NA,
  fileName = NA,
  savePeriod = 1000,
  known = NA,
  varNames = NA
)

`x`	Vector of indepenent variable observations
`Y`	Matrix of dependent variable observations
`hp`	Hyperparameters
`numSamp`	Number of samples
`burnIn`	Number of burn-in samples
`verbose`	Whether to print out information as the run proceeds [optional]
`start`	Starting value of theta_y_list for sampling [optional]
`fileName`	File name for saving [optional]
`savePeriod`	Period (of samples) for saving [optiona; default 1000]
`known`	Known values, a list with the field theta_y, which is also a list [optional]
`varNames`	Variable names for saving to file [optional]