eff.cont-class

effCont_new

the expected value of the distibution.

mean

the effective degrees of freedom of the distribution.

the sample of effectiveness scores used to fit the distribution. Defaults to
<code>NULL</code>.

This is the base S3 class for all continuous effectiveness distributions, which is itself a
subclass of <code>eff</code>. Function <code>effCont_new</code> is the constructor of the class.

Provides tools for the stochastic simulation of effectiveness scores to mitigate
data-related limitations of Information Retrieval evaluation research, as described in Urbano and
Nagler (2018) <doi:10.1145/3209978.3210043>. These tools include: fitting, selection and plotting
distributions to model system effectiveness, transformation towards a prespecified expected value,
proxy to fitting of copula models based on these distributions, and simulation of new evaluation
data from these distributions and copula models.

`mean`	the expected value.
`var`	the variance.
`df`	the degrees of freedom (effective number of parameters) for model selection.
`data`	the sample data used to fit the distribution, or `NULL` if none.
`model`	a list with the family-specific data.

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eff.cont-class: Class `eff.cont`

Description

Usage

Arguments

Value

Details

See Also