softmax

Implementation of the softmax function.

internal

Implements the framework introduced in Di Francesco and Mellace (2025) <doi:10.48550/arXiv.2502.11691>, shifting the focus to well-defined and interpretable
estimands that quantify how treatment affects the probability distribution over outcome categories. It supports selection-on-observables, instrumental variables,
regression discontinuity, and difference-in-differences designs.

Riccardo Di Francesco

causalQual

Causal Inference for Qualitative Outcomes

softmax function

<dl><dt>logits</dt>
<dd>An nxM matrix, with n the sample size and M the number of classes of an ordinal outcome.</dd></dl>

Arguments

Author

Softmax function. — softmax

<dl>

<dt>logits</dt>
<dd>An nxM matrix, with n the sample size and M the number of classes of an ordinal outcome.</dd>

</dl>

softmax: Softmax function.

Description

Usage

Value

Arguments

Author