Package: meifly 0.3.1.9000
meifly: Interactive Model Exploration using 'GGobi'
Exploratory model analysis with <http://ggobi.org>. Fit and graphical explore ensembles of linear models.
Authors:
meifly_0.3.1.9000.tar.gz
meifly_0.3.1.9000.zip(r-4.5)meifly_0.3.1.9000.zip(r-4.4)meifly_0.3.1.9000.zip(r-4.3)
meifly_0.3.1.9000.tgz(r-4.4-any)meifly_0.3.1.9000.tgz(r-4.3-any)
meifly_0.3.1.9000.tar.gz(r-4.5-noble)meifly_0.3.1.9000.tar.gz(r-4.4-noble)
meifly_0.3.1.9000.tgz(r-4.4-emscripten)meifly_0.3.1.9000.tgz(r-4.3-emscripten)
meifly.pdf |meifly.html✨
meifly/json (API)
NEWS
# Install 'meifly' in R: |
install.packages('meifly', repos = c('https://hadley.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hadley/meifly/issues
Last updated 3 years agofrom:616f1d0aba. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 17 2024 |
R-4.5-win | OK | Dec 17 2024 |
R-4.5-linux | OK | Dec 17 2024 |
R-4.4-win | OK | Dec 17 2024 |
R-4.4-mac | OK | Dec 17 2024 |
R-4.3-win | OK | Dec 17 2024 |
R-4.3-mac | OK | Dec 17 2024 |
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculcate coefficients for all models in ensemble. Returns raw, t-value, absolute t-value, and standardised coefficent values. | coef.ensemble |
General ensemble of models from models in global workspace' | findmodels |
Fit all combinations of x variables ($2^p$). | fitall |
Use the leaps package to generate the best subsets. | fitbest |
Generate linear models by bootstrapping observations | lmboot |
Interactive model ensemble exploration. | meifly package-meifly |
Calculate residuals for all models in ensemble. | residuals.ensemble |
Returns degrees of freedom, log likelihood, R-squared, AIC, BIC and adjusted R-squared. | summary.ensemble |
Summarise residuals from ensemble. | summary.resid_ensemble |
Summarise variable ensemble. | summary.variable_ensemble |