estimate_dispersion() (and maybe estimate_zeroinflation()?)

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
r
Domain
analytics, data

Research direction

Start by reading estimate_prediction() and estimate_response(), then review the linked insight issue about dispersion support. Define the intended scope for modeled-dispersion prediction intervals, predicted dispersion with confidence intervals, and zero-inflation predictions before locating the relevant implementation and tests. Done means the supported options and output scales are documented and covered by tests.

Written by the indexing model from the issue text.

Description

For models with dispersion models, it would be nice if two things were possible:

  1. Incorporation of modeled dispersion parameters into prediction intervals in estimate_prediction().
  2. Estimate predicted dispersion and confidence intervals on the link or response scale. This could be an option in estimate_response() and related functions (cf. https://github.com/easystats/insight/issues/413) or a separate estimate_dispersion(). Like with estimate_prediction(), making this an alias of estimate_response() with default options might make sense.

Relatedly, options for estimating zero-inflation predictions would be great.

Dominant language
R
Stars
263
Forks
22
Avg merge
1h 22m
Merged PRs (30d)
11

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