lf_grad_posterior_density: Gradient of posterior density

In jmseiden/jms_credi: JMS-CREDI Scoring

Description

This calculates the analytic gradient of the posterior density function.

Usage

lf_grad_posterior_density(THETAi, Yi, MUi, invS, TAU, LAMBDA, J, K)

Arguments

THETAi	Size K vector of scaled scores for the i-th individual.
Yi	Size Y vector of item responses for the i-th individual.
MUi	Size K vector of prior's mean conditional on MONTHS.
invS	Size K-by-K matrix of prior's inverse of var/cov matrix.
TAU	Size J vector of item intercepts.
LAMBDA	Size J-by-K matrix of item loadings.
J	Number of items.
K	Number of latent dimensions.

Examples

lf_grad_posterior_density(THETAi, Yi, MUi, invS, TAU, LAMBDA,J,K)

jmseiden/jms_credi documentation built on April 4, 2021, 1:38 p.m.