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meifly (version 0.3.1)

Interactive Model Exploration using 'GGobi'

Description

Exploratory model analysis with . Fit and graphical explore ensembles of linear models.

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Install

install.packages('meifly')

Monthly Downloads

339

Version

0.3.1

License

MIT + file LICENSE

Issues

1

Pull Requests

0

Stars

16

Forks

2

Maintainer

Hadley Wickham

Last Published

May 20th, 2022

Functions in meifly (0.3.1)

summary.resid_ensemble

Summarise residuals from ensemble.
summary.variable_ensemble

Summarise variable ensemble.
meifly

Interactive model ensemble exploration.
lmboot

Generate linear models by bootstrapping observations
residuals.ensemble

Calculate residuals for all models in ensemble.
fitbest

Use the leaps package to generate the best subsets.
summary.ensemble

Returns degrees of freedom, log likelihood, R-squared, AIC, BIC and adjusted R-squared.
coef.ensemble

Calculcate coefficients for all models in ensemble. Returns raw, t-value, absolute t-value, and standardised coefficent values.
fitall

Fit all combinations of x variables ($2^p$).
new_ensemble

Create a new ensemble of models.
findmodels

General ensemble of models from models in global workspace'