d2l_full: Hessian of the log-likelihood for a combined assessment.
In peterhalpin/cirt: Psychometric models of small group collaborations

Description Usage Arguments Value

This function computes second derivatives of the log-likelihood for a combined assessment, in which the 2PL model is used for the individual component of the assessment and the one-parameter RSC model is used for the group component of the assessment. The derivatives are taken in c(u, theta1, theta2). See help(l_full) for details on formatting resp and parms.

1	d2l_full(resp, u, parms, theta1, theta2, obs = T)

`resp`	a data.frame containing the binary item responses of both the individual assessment and the (conjunctively scored) group assessment. See details for information on formatting.
`u`	the logit of the weight parameter of the RSC model.
`parms`	a data.frame with elements `parms$alpha` and `parms$beta` corresponding to the discrimination and difficulty parameters of the 2PL model, respectively. See details for information on formatting.
`theta1`	the latent trait of member 1.
`theta2`	the latent trait of member 2.
`obs`	logical: should the observed value be returned? If not, the expected value is returned.

3 * K by 3 * K block-diagonal, symmmetrical matrix of second derivatives, with K = length(u) and rows/cols ordered as rep(c(u_k, theta1_k, theta2_k), times = K).

peterhalpin/cirt documentation built on May 25, 2019, 1:50 a.m.