apollo: apollo_fitsTest – R documentation

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apollo_fitsTest

Compares log-likelihood of model across categories

Given the estimates of a model, it compares the log-likelihood at the observation level across categories of observations.

apollo_fitsTest(model, apollo_probabilities, apollo_inputs, fitsTest_settings)

`model`	Model object. Estimated model object as returned by function apollo_estimate.
`apollo_probabilities`	Function. Returns probabilities of the model to be estimated. Must receive three arguments: apollo_beta: Named numeric vector. Names and values of model parameters. apollo_inputs: List containing options of the model. See apollo_validateInputs. functionality: Character. Can be either "estimate" (default), "prediction", "validate", "conditionals", "zero_LL", or "raw".
`apollo_inputs`	List grouping most common inputs. Created by function apollo_validateInputs.
`fitsTest_settings`	List of arguments. It must contain the following elements. subsamples: Named list of boolean vectors. Each element of the list defines whether a given observation belongs to a given subsample (e.g. by sociodemographics).

Prints a table comparing the average log-likelihood at the observation level for each category.

Matrix with average log-likelihood at observation level per category (invisibly).

Tools for Choice Model Estimation and Application

v0.2.4

GPL-2

Authors

Stephane Hess [aut], David Palma [aut, cre]

Initial release