holi
0.1.1Higher Order Likelihood Inference Web Applications
Overview
Higher order likelihood inference is a promising approach for analyzing small sample size data. The 'holi' package provides web applications for higher order likelihood inference. It currently supports linear, logistic, and Poisson generalized linear models through the rstar_glm() function, based on Pierce and Bellio (2017) <doi:10.1111/insr.12232> and 'likelihoodAsy'. The package offers two main features: LA_rstar(), which launches an interactive 'shiny' application allowing users to fit models with rstar_glm() through their web browser, and sim_rstar_glm_pgsql(), which streamlines the process of launching a web-based 'shiny' simulation application that saves results to a user-created 'PostgreSQL' database.
Install
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- NOTE2026-03-103 OK · 11 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code
Code & tests
Open call graph →Line coverage
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Tests / Examples
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Functions
11 5 exported
Complexity
6.1 avg / 19 max
Call network
11 nodes / 7 edges
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People & History
2 releases. Pick two to compare their code metrics; R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.1Latest2024-08-25 · current release
- 0.1.02024-07-15
Package metadata
- First published
- 2024-07-15
- Total releases
- 2 / 2 yrs
- License
- MIT + file LICENSE OSI
- Download size
- not tracked yet
- Installed size
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- With dependencies
- not tracked yet