Hi all, I’m working with some data on the abundance of a variety of plants. I’m hoping to work up to fitting some GLMs with these abundance data as the response. However, the abundance data is collected in an unstandardized way, and I’m not totally sure how to best make use of this data and account…

This seems spot on! I’ve only ever used this approach for survival analysis, and I guess I failed to recognize it’s generality. Thank you for pointing me in this direction!

Except that log normal PDF has a continuous domain (i.e. is defined for positive real numbers) and you have integer data, I think. You could use Poisson or negative binomial or you might even want to go to a more flexible shape like discrete Burr type XII which is listed here: brms github issues . Bu…

[image] jacollings: sometimes specify the abundance as an approximation or an expression that represents an order of magnitude or a minimum count The general way to treat this is as a missing data problem. There’s a chapter in the Stan User’s Guide outlining the basics: data { int<…

Exact, approximate, and minimum count data

Modeling

franzsf January 27, 2026, 5:21pm 2

Would this be a good use case for interval censoring? E.g. Mixed (right, left and interval) censored log-normal with brms

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Exact, approximate, and minimum count data

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