meifly v0.3


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by Hadley Wickham

Interactive model exploration using GGobi

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

Functions in meifly

Name Description
summary.ensemble Returns degrees of freedom, log likelihood, R-squared, AIC, BIC and adjusted R-squared.
findmodels General ensemble of models from models in global workspace'
new_ensemble Create a new ensemble of models.
residuals.ensemble Calculate residuals for all models in ensemble.
fitall Fit all combinations of x variables ($2^p$).
fitbest Use the leaps package to generate the best subsets.
lmboot Generate linear models by bootstrapping observations
summary.variable_ensemble Summarise variable ensemble.
summary.resid_ensemble Summarise residuals from ensemble.
meifly Interactive model ensemble exploration.
coef.ensemble Calculcate coefficients for all models in ensemble. Returns raw, t-value, absolute t-value, and standardised coefficent values.
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Type Package
License MIT + file LICENSE
LazyData true
Roxygen list(wrap = FALSE)
Packaged 2014-04-23 15:10:10 UTC; hadley
NeedsCompilation no
Repository CRAN
Date/Publication 2014-04-23 18:06:02
imports , leaps , MASS , plyr
Contributors Hadley Wickham

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