generate_default_availabilities

Generate a ones-matrix of availabilities

Specification and estimation of multinomial logit
models. Large datasets and complex models are supported, with an
intuitive syntax. Multinomial Logit Models, Mixed models, random
coefficients and Hybrid Choice are all supported. For more
information, see Molloy et al. (2021) <https://www.research-collection.ethz.ch/handle/20.500.11850/477416>.

Joseph Molloy

mixl

Simulated Maximum Likelihood Estimation of Mixed Logit Models
for Large Datasets

generate_default_availabilities function

<dl><dt>data</dt>
<dd>The dataset used in the model</dd>
<dt>num_utility_functions</dt>
<dd>the number of alternatives in the model</dd></dl>

Arguments

Generate a ones-matrix of availabilities — generate_default_availabilities

<dl>

<dt>data</dt>
<dd>The dataset used in the model</dd>


<dt>num_utility_functions</dt>
<dd>the number of alternatives in the model</dd>

</dl>

generate_default_availabilities: Generate a ones-matrix of availabilities

Description

Usage

Value

Arguments

Examples