Description Usage Arguments Value

View source: R/cIRF_functions.R

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 |

`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 July 15, 2018, 12:42 p.m.

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