holi: Higher Order Likelihood Inference Web Applications
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.
| Version: |
0.1.1 |
| Imports: |
DT, ggplot2, likelihoodAsy, MASS, pool, RPostgres, shiny, shinythemes, sn |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2024-08-25 |
| DOI: |
10.32614/CRAN.package.holi |
| Author: |
Mackson Ncube [aut, cre],
mightymetrika, LLC [cph, fnd] |
| Maintainer: |
Mackson Ncube <macksonncube.stats at gmail.com> |
| BugReports: |
https://github.com/mightymetrika/holi/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/mightymetrika/holi |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
holi results |
Documentation:
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