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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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0.3.1
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Install
install.packages('meifly')
Monthly Downloads
254
Version
0.3.1
License
MIT + file LICENSE
Issues
1
Pull Requests
0
Stars
16
Forks
2
Repository
https://github.com/hadley/meifly
Maintainer
Hadley Wickham
Last Published
May 20th, 2022
Functions in meifly (0.3.1)
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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'