l_full_sum: Log-likelihood of a combined assessment, with sum option.
In peterhalpin/BearShare: Psychometric models of small group collaborations

Description Usage Arguments Value

This function is identical to l_full, except that it has an option for whether to return the sum the log-liklihood over respondents. See help(l_full) for details on formatting resp and parms.

1	l_full_sum(resp, u, parms, theta1, theta2, Sum = F)

`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`	is the logit of the weight parameter of the RSC model.
`parms`	a data.frame with columns `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.