validate_data

This function checks that data is properly formatted for use with logitr()
and provides detailed diagnostic information about potential issues.

Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R. Models can be estimated using "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations. Weighted models can also be estimated. An option is available to run a parallelized multistart optimization loop with random starting points in each iteration, which is useful for non-convex problems like MXL models or models with WTP space utility parameterizations. The main optimization loop uses the 'nloptr' package to minimize the negative log-likelihood function. Additional functions are available for computing and comparing WTP from both preference space and WTP space models and for predicting expected choices and choice probabilities for sets of alternatives based on an estimated model. Mixed logit models can include uncorrelated or correlated heterogeneity covariances and are estimated using maximum simulated likelihood based on the algorithms in Train (2009) <doi:10.1017/CBO9780511805271>. More details can be found in Helveston (2023) <doi:10.18637/jss.v105.i10>.

John Helveston

logitr

Logit Models w/Preference & WTP Space Utility Parameterizations

Connor Forsythe

validate_data function

<dl><dt>data</dt>
<dd>The data frame to validate</dd>
<dt>outcome</dt>
<dd>The name of the column that identifies the outcome variable</dd>
<dt>obsID</dt>
<dd>The name of the column that identifies each observation</dd>
<dt>pars</dt>
<dd>Optional. The names of parameters to check (for additional validation)</dd>
<dt>scalePar</dt>
<dd>Optional. The name of the scale parameter column (for WTP models)</dd>
<dt>panelID</dt>
<dd>Optional. The name of the panel ID column (for panel data)</dd></dl>

Arguments

Validate data formatting for logitr models — validate_data

<dl>

<dt>data</dt>
<dd>The data frame to validate</dd>


<dt>outcome</dt>
<dd>The name of the column that identifies the outcome variable</dd>


<dt>obsID</dt>
<dd>The name of the column that identifies each observation</dd>


<dt>pars</dt>
<dd>Optional. The names of parameters to check (for additional validation)</dd>


<dt>scalePar</dt>
<dd>Optional. The name of the scale parameter column (for WTP models)</dd>


<dt>panelID</dt>
<dd>Optional. The name of the panel ID column (for panel data)</dd>

</dl>

validate_data: Validate data formatting for logitr models

Description

Usage

Value

Arguments

Examples