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-4.7-any)meifly_0.3.1.9000.zip(r-4.6-any)meifly_0.3.1.9000.zip(r-4.5-any)
meifly_0.3.1.9000.tgz(r-4.6-any)meifly_0.3.1.9000.tgz(r-4.5-any)
meifly_0.3.1.9000.tar.gz(r-4.7-any)meifly_0.3.1.9000.tar.gz(r-4.6-any)
meifly_0.3.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
meifly/json (API)
| # 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 from:616f1d0aba. Checks:9 OK. Indexed: yes.
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 |