fitall
(Package: meifly) :
Fit all combinations of x variables ($2^p$).
This technique generalises fitbest. While it is much slower it will work for any type of model.
● Data Source:
CranContrib
● Keywords: regression
● Alias: fitall
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Summarise residuals from ensemble.
● Data Source:
CranContrib
● Keywords: regression
● Alias: summary.resid_ensemble
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lmboot
(Package: meifly) :
Generate linear models by bootstrapping observations
Generate linear models by bootstrapping observations
● Data Source:
CranContrib
● Keywords: regression
● Alias: lmboot
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findmodels
(Package: meifly) :
General ensemble of models from models in global workspace'
General ensemble of models from models in global workspace'
● Data Source:
CranContrib
● Keywords: regression
● Alias: findmodels
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residuals.ensemble
(Package: meifly) :
Calculate residuals for all models in ensemble.
Calculate residuals for all models in ensemble.
● Data Source:
CranContrib
● Keywords: regression
● Alias: residuals.ensemble
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Provides variable level statistics.
● Data Source:
CranContrib
● Keywords: regression
● Alias: summary.variable_ensemble
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coef.ensemble
(Package: meifly) :
Calculcate coefficients for all models in ensemble.
Calculcate coefficients for all models in ensemble. Returns raw, t-value, absolute t-value, and standardised coefficent values.
● Data Source:
CranContrib
● Keywords: regression
● Alias: coef.ensemble
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new_ensemble
(Package: meifly) :
Create a new ensemble of models.
Create a new ensemble of models.
● Data Source:
CranContrib
● Keywords: internal
● Alias: new_ensemble
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meifly
(Package: meifly) :
Interactive model ensemble exploration.
Interactive model ensemble exploration.
● Data Source:
CranContrib
● Keywords:
● Alias: meifly, package-meifly
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summary.ensemble
(Package: meifly) :
Returns degrees of freedom, log likelihood, R-squared, AIC, BIC and
Returns degrees of freedom, log likelihood, R-squared, AIC, BIC and adjusted R-squared.
● Data Source:
CranContrib
● Keywords: regression
● Alias: summary.ensemble
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providing 
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