adj_resid_likelihood_theta_var_maker {agfh} | R Documentation |
Maker Function: Adjusted Residual Likelihood of Latent Variance
Description
A maker function that returns a function. The returned function is the adjusted residual likelihood of the data for a given (latent) variance, from Yoshimori & Lahiri (2014).
Usage
adj_resid_likelihood_theta_var_maker(X, Y, D)
Arguments
X |
observed independent data to be analyzed |
Y |
observed dependent data to be analyzed |
D |
known precisions of response |
Value
Returns the adjusted residual likelihood as a function of the variance term in the latent model.
Source
Marten Thompson thom7058@umn.edu
Examples
X <- matrix(1:10, ncol=1)
Y <- 2*X + rnorm(10, sd=1.1)
D <- rep(1, 10)
adj.lik <- adj_resid_likelihood_theta_var_maker(X, Y, D)
adj.lik(0.5)
[Package agfh version 0.2.1 Index]