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Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R with "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations in R

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I'm just collecting some todo items here from existing issues: - [ ] Write a function to handle encoding data with an outside good (#52). - [ ] Revise encoding...

Fantastic work, John. I greatly enjoy exploring the package thus far. I've run into some problem in estimating a WTP-space model. The problem appears when I requested a larger number...

Following the conversation in #53, it'd be great to be able to call [{xlogit}](https://github.com/arteagac/xlogit) (python) from {logitr} to be able to access the amazing estimation speed and capabilities that {xlogit}...

Hi, I am using your package frequently to estimate WTP model and saw this post https://stats.stackexchange.com/questions/624305/mlogit-logitr-packages-fail-to-recover-true-estimates-of-mixed-logit-random-co today. Can you please comment on that?

For experiments with outside goods ("none" options), the data need to be encoded in a particular way. I frequently see people make mistakes with this, so it's probably worth writing...

Dear John, first of all, thanks a lot for this amazing package. I was wondering if there is the chance to extract individual part worths similar to the `indpar` from...

When using logitr with effects coded categorical variables (contrast.sum) the transformation from the categorical variable to the dummy variables gives only one dummy column irrespective of how many categorical variables...

Funders and academic employers are increasingly interested in seeing evidence for the impact academic research generates. For software such as {logitr}, this is very hard to accomplish because the typical...

Hi @jhelvy, First of all, thanks a lot for this contribution. I am usually using python, but logitr managed to solve some convergence issues I was having with xlogit using...

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