default_inits_pgSPLM: Initialized default initial conditions
In jtipton25/pgR: Bayesian Polya-Gamma Regression

default_inits_pgSPLM

R Documentation

Initialized default initial conditions

A function for setting up the default pgSPLM priors

default_inits_pgSPLM(
  Y,
  X,
  priors,
  corr_fun = "exponential",
  shared_covariance_params = TRUE
)

`Y`	is a n x d matrix of multinomial count data.
`X`	is a n x p matrix of variables.
`priors`	is a list of prior settings.
`corr_fun`	is a character that denotes the correlation function form. Current options include "matern" and "exponential".
`shared_covariance_params`	is a logical input that determines whether to fit the spatial process with component specifice parameters. If TRUE, each component has conditionally independent Gaussian process parameters theta and tau2. If FALSE, all components share the same Gaussian process parameters theta and tau2.