Package: holi 0.1.1.9000
Mackson Ncube
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.
Authors:
holi_0.1.1.9000.tar.gz
holi_0.1.1.9000.zip(r-4.5)holi_0.1.1.9000.zip(r-4.4)holi_0.1.1.9000.zip(r-4.3)
holi_0.1.1.9000.tgz(r-4.4-any)holi_0.1.1.9000.tgz(r-4.3-any)
holi_0.1.1.9000.tar.gz(r-4.5-noble)holi_0.1.1.9000.tar.gz(r-4.4-noble)
holi_0.1.1.9000.tgz(r-4.4-emscripten)holi_0.1.1.9000.tgz(r-4.3-emscripten)
holi.pdf |holi.html✨
holi/json (API)
| # Install 'holi' in R: |
| install.packages('holi', repos = c('https://mightymetrika.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mightymetrika/holi/issues
Last updated 15 days agofrom:6599efdaa5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 03 2024 |
| R-4.5-win | OK | Sep 03 2024 |
| R-4.5-linux | OK | Sep 03 2024 |
| R-4.4-win | OK | Sep 03 2024 |
| R-4.4-mac | OK | Sep 03 2024 |
| R-4.3-win | OK | Sep 03 2024 |
| R-4.3-mac | OK | Sep 03 2024 |
Exports:LA_rstarrstar_glmrun_sim_rstar_glmsim_rstar_glmsim_rstar_glm_pgsql
Dependencies:alabamabase64encbitbit64blobbslibcachemclicolorspacecommonmarkcondcpp11crayoncrosstalkDBIdigestDTevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelikelihoodAsylubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmimemnormtmunsellnleqslvnlmenumDerivpillarpkgconfigplogrpoolpracmapromisesquantregR6rappdirsRColorBrewerRcpprlangrmarkdownRPostgresRsolnpsassscalesshinyshinythemessnsourcetoolsSparseMstatmodsurvivaltibbletimechangetinytextruncnormutf8vctrsviridisLitewithrxfunxtableyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Launch Shiny App for likelihoodAsy rstar Analysis | LA_rstar |
| Compute r* Statistics for Generalized Linear Models | rstar_glm rstar_glm.default rstar_glm.linear rstar_glm.logistic rstar_glm.poisson |
| Run Multiple Iterations of Simulation and Summarize Results | run_sim_rstar_glm |
| Simulate Data and Fit GLM and r* Models | sim_rstar_glm |
| Shiny App for Running r* GLM Simulations with PostgreSQL Integration | sim_rstar_glm_pgsql |