# Jacobian Matrix for Basic Local Independence Model

### Description

Computes the Jacobian matrix for a basic local independence model (BLIM).

### Usage

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### Arguments

`object` |
an object of class |

`P.K` |
the vector of parameter values for probabilities of knowledge states. |

`beta` |
the vector of parameter values for probabilities of a careless error. |

`eta` |
the vector of parameter values for probabilities of a lucky guess. |

`errtype` |
type of response errors that can occur: |

### Details

This is a draft version. It may change in future releases.

### Value

The Jacobian matrix. The number of rows equals 2^(number of items) - 1, the number of columns equals the number of independent parameters in the model.

### References

Heller, J. (2016). Identifiability in probabilistic knowledge structures. Manuscript under revision.

Stefanutti, L., Heller, J., Anselmi, P., & Robusto, E. (2012).
Assessing the local identifiability of probabilistic knowledge structures.
*Behavior Research Methods*, **44**, 1197–1211.

### See Also

`blim`

, `simulate.blim`

,
`gradedness`

.

### Examples

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